annual report - virginia techvirginia, the global center for automotive performance simulation...

REPORT‘18A N N U A L

TABLE OF CONTENTS

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MISSION &VISION STATEMENT

FACILITIES

MESSAGE FROMTHE DIRECTOR

PROJECT HIGHLIGHTS

PUBLICATIONS

SPONSORS, CLIENTS, & PARTNERS

MEDIA COVERAGE

PRESENTATIONS, HONORS, AWARDS, & SERVICES

STAKEHOLDERS

OUTREACH & COMMUNITY

ENGAGEMENT

CENTERS,GROUPS, &INITIATIVES

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The Virginia Tech Transportation Institute (VTTI) conducts research to save lives, save time, save money, and protect the environment. Researchers and students from multiple fields are continuously developing the techniques and technologies to solve transportation challenges from vehicular, driver, infrastructure, and environmental perspectives.

As one of seven premier research institutes created by Virginia Tech to answer national challenges, VTTI has effected significant change in public policies for driver, passenger, and pedestrian safety and is advancing the design of vehicles and infrastructure to increase safety and reduce environmental impacts.

MISSION & VISION

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MESSAGE FROMTHE DIRECTOR

-Tom Dingus, Ph.D., CHFPDirector of VTTIPresident of VTT, LLCEndowed Professor of Engineering at Virginia Tech

VTTI: Surpassing milestones, advancing transportation solutions

The transportation landscape is rapidly evolving, and VTTI — along with its affiliated corporation in Southern Virginia, the Global Center for Automotive Performance Simulation (GCAPS) — is keeping pace to address industry needs while ensuring the safety of transportation users.

This year, the institute surpassed several milestones, including: • Expending more than $40 million in externally sponsored research funding, accounting for approximately $1 out of every $7 of external research in the Virginia Tech portfolio in fiscal year 2018. • Exceeding $51 million in new external contracts and awards received in fiscal year 2018, resulting in a total active portfolio that now exceeds $200 million. This funding supports the institute’s 300 active projects, all of which aim to save lives, time, money, and protect the environment. The institute rapidly expanded, with 40 open positions for new faculty, staff, and students. • Diversifying funding, with more than 50 percent of funding coming from private-sector partners, including 14 auto manufacturers and more than 50 suppliers. • Employing more than 500 faculty, staff, and students, a number that included 280 undergraduate and graduate students from five Virginia Tech colleges and more than one dozen university departments who gained hands-on experience in conducting cutting-edge transportation research.

The transportation institute’s $110 million infrastructure, which was built largely via external partnerships with public and private-sector partners, includes GCAPS. Originally funded by General Motors, the Virginia Tobacco Indemnification Commission, and Virginia Tech, the center now generates more than $5 million in revenue each year and has created 70 direct and indirect jobs in the Southern Virginia region. The institute’s infrastructure also includes the recent Virginia Smart Roads expansion project, developed in partnership with the Virginia Department of Transportation (VDOT). The cornerstone of the transportation institute, Smart Roads research and outreach use this year neared 3,000 hours — or approximately 60 hours per week — across multiple sponsors.

Institute researchers are currently working with sponsors such as GM, Ford, Nissan, and the National Highway Traffic Safety Administration (NHTSA) to investigate advanced driver-assistance systems and vehicle automation, both of which are quickly transforming the transportation industry. This is certainly exciting in terms of safety and mobility innovations but carries with it serious challenges and questions that need to be answered. For example, how should these cars and trucks be designed, tested, and deployed so they will be able to navigate all road types in all weather and lighting conditions, avoid unexpected obstacles, and ensure that all transportation users are safer as a result?

To help address these questions, VTTI researchers are acquiring large quantities of naturalistic driving data via a methodology pioneered by VTTI. Such data can be used in advanced analytics and simulation methods to help industry leaders determine if advanced safety systems and vehicle automation can operate reliably or cause unintended consequences for drivers, such as distraction or reliance upon the system. This approach is ultimately designed to provide a foundation for the safe, efficient development and deployment of advanced vehicles and systems.

Another key issue in transportation is teen driving risk and injury prevention. Teen drivers — particularly novice drivers — are overrepresented in national fatality and injury crash statistics. One out of every five young drivers in the U.S. is involved in a crash within the first six months of driving. Researchers at VTTI are dedicated to reducing these high crash rates and saving teen lives through research and outreach.

The future of transportation holds many challenges, but VTTI — home to the largest group of driving researchers in the world — is diligently working to confront these issues and many others. By working with more than 100 sponsors that include industry partners, government agencies, and suppliers, the institute has positioned itself to address critical transportation issues, delivering imaginative safety and design solutions.

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VTTI has an infrastructure worth more than $110 million that includes four test beds used

extensively for real-world, impactful transportation research across both broad and edge-and-corner scenarios; more than 120,000 square feet of building space in Blacksburg and Alton, Va.; and more than 100 owned and leased instrumented vehicles, including connected-automated light and heavy vehicles. VTTI is also purchasing an autonomous micro-transit shuttle that will soon be instrumented for a variety of automation research projects.

01. Test BedsHeadquartered at VTTI, the Virginia Smart Road is a controlled-access facility managed by the institute and owned and maintained by the Virginia Department of Transportation (VDOT). The road is built to Federal Highway Administration specifications and features seven roadside equipment units and two mobile roadside equipment sites that facilitate connected-vehicle communications; an optical fiber communication system; Ethernet fiber transceivers and Ethernet switches; a connected-vehicle-compatible intersection controller model; varying pavement sections and in-pavement sensors; 75 weather-making towers capable of producing snow, rain, and fog; a differential GPS base station for precise vehicle locating; a signalized intersection with complete signal phase and timing control; a wireless mesh network variable control system; and variable pole spacing designed to replicate 95% of national highway lighting systems.

In 2017, the institute held a ribbon cutting/groundbreaking ceremony with partners VDOT and Virginia Tech to

unveil four unique expansion projects, each building upon the Smart Road testing capabilities and collectively known as the Virginia Smart Roads: 1) The Surface Street (open now), which features a residential/urban layout with real and reconfigurable buildings, roundabout/stop-controlled intersections, automation-compatible pavement markings, and connectivity to the Smart Road; 2) The Live Roadway Connector (open now), providing a seamless transition between live traffic and the closed test tracks of the Smart Roads while bringing the total length of the highway section to 2.5 miles; 3) The Rural Road (opening in 2019), which will be the first testing site of its kind to facilitate advanced-vehicle testing on a controlled rural roadway environment. The Rural Road will feature hilly, winding roads; short site distances; and will be built to 1965 standards; and 4) The Automation Hub (opening in 2018), located on-site at the Virginia Smart Roads and facilitating short turnaround projects focused on advanced-vehicle testing in collaboration with VTTI researchers, industry leaders, and Virginia Tech students, among others.

The Virginia Smart Roads are designed to complement the public testing capabilities offered by the Virgin-ia Connected and Automated Corridors. In 2014, VTTI partnered with VDOT to unveil the Virginia Connected Corridors (VCC), which comprise the Smart Road and In-terstates 66 and 495, as well as U.S. 29 and U.S. 50 (one of the most congested corridors in the U.S.). The VCC is fa-cilitating the real-world development and deployment of connected-vehicle technology via dedicated short-range communications and cellular technology. Using more than 60 roadside equipment units (RSEs) located along the corridors, VDOT and researchers from multiple in-

FACILITIESINSTITUTE INFRASTRUCTURE

stitutes across the Commonwealth are implementing connected applica-tions that include traveler information, lane closure alerts, and work zone and in-cident management. Under the umbrella of the recently completed Tier 1 U.S. Department of Transportation (USDOT) Connected Vehicle/Infrastructure University Transportation Center, VTTI, the University of Virginia, and Morgan State University conducted more than 20 connected projects along the VCC, including emergency vehicle-to-vehicle communications, motorcycle crash warning systems, eco-speed control, intersection management, and pave-ment assessment and management.

In 2015, VTTI partnered with VDOT, Transurban, the Virginia Department of Motor Vehicles, and HERE (a high-definition mapping business) to unveil the Virginia Automated Corridors (VAC). This initiative provides an automation-friendly environment that government agen-cies, auto manufacturers, and suppliers can use to test and certify their systems, providing a system migration path from test-track to real-world operating environments. The VAC leverages extensive experience in on-road safety research to provide efficient solutions to automated-ve-hicle testing. The VAC was developed in answer to the Virginia governor’s 2015 proclamation declaring Virginia “open for business” in the realm of automated vehicles. The proclamation allows the testing of any automated ve-hicle on Virginia roads under the guidance of VTTI. The Virginia Department of Motor Vehicles will support re-search efforts performed by VTTI in accordance with the proclamation. With assistance from the Commonwealth of Virginia, the VAC will advance the development, test-

ing, and deployment of automated-vehicle technology, with the ultimate goal of helping stakeholders create ro-bust automated and autonomous vehicles.

Faculty and students associated with the USDOT-award-ed Safety through Disruption National University Trans-portation Center (Safe-D National UTC)—a consortium led by VTTI with partners Texas A&M Transportation Institute and San Diego State University— have access to the Virginia Smart Roads and the Connected and Auto-mated Corridors to perform research into disruptive tech-nologies, such as automated and connected vehicles, big data analytics, and transportation as a service. Current UTC projects include modeling driver responses during automated-vehicle failures, evaluating the response of autonomous vehicles to emergency response vehicles, designing and evaluating a connected work zone hazard detection and communication system for connected and automated vehicles, examining senior drivers’ adaptation to automated vehicles, identifying railroad requirements for the future automated-and connected-vehicle envi-ronment, assessing safety perceptions of transportation

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FACILITIESINSTITUTE INFRASTRUCTURE

network companies by the blind and visually impaired, and evaluating factors surrounding child seat usage in ride-share services.

02. Blacksburg FacilitiesThe traditional laboratories at VTTI are housed in four buildings totaling more than 90,000 square feet. Building I is 30,000 square feet and houses office, laboratory, and garage facilities. Low-service laboratories include facilities dedicated to driver interface development, eye-glance data reduction, lighting research, accident analysis, accident database analysis, pavement research, and traffic simulation. The National Surface Transportation Safety Center for Excellence building comprises 22,000 square feet of office and laboratory space and was occupied in July 2006. VTTI expanded its on-site capacity by 7,000 square feet of warehouse space and housing for a paint booth facility and a lighting lab. An additional 24,400 square-foot annex was opened during August 2013.

To supplement and support the research endeavors of the institute, facilities feature a fully staffed garage and machine shop to instrument experimental vehicles. Technicians and engineers use full-scale machine and welding shops, electronics laboratories, and garage facilities to customize transportation hardware and software designed to collect large amounts of data. These facilities are also used to support the maintenance and expansion of the Smart Roads systems and capabilities. Additionally, VTTI occupies an adjacent seven-bay, 12,600-square-foot garage. This facility is used to store the VTTI instrumented vehicle fleet and the equipment necessary for research and Smart Roads operations.

03. Southern Virginia FacilitiesAffiliated with VTTI and Virginia Tech is the Global Center for Automotive Performance Simulation (GCAPS), located in Alton, Va. GCAPS is a world-class facility that provides revolutionary services for both vehicle and tire, including testing, simulation, and modeling. GCAPS comprises the National Tire Research Center (NTRC), the Southern Virginia Vehicle Motion Labs (SoVa Motion), and the Virtual Design and Integration Laboratory (VDIL). Collectively, these initiatives provide the full range of services essential for creating a more dynamic product through both virtual and physical development.

GCAPS also works closely with amateur, semi-pro, and pro race teams to provide cutting-edge services that help race cars perform at the top levels.

Located adjacent to GCAPS is the Virginia International Raceway, to which VTTI has access for the performance of connected and automated projects in a multi-use testing environment that includes both closed-course and open traffic conditions. The raceway track can be configured to five different courses ranging from 1.1 miles to 6.8 miles and includes such topography as hairpin curves and blind passes.

04. Accelerated Pavement TestingVDOT and VTTI launched an accelerated pavement testing program in 2015, which uses a heavy-vehicle simulator that continuously applies a weighted load to test pavements for several months. This testing simulates the natural wear and tear caused by heavy trucks on road surfaces. The program is expected to result in cost savings in road maintenance and will enable VDOT to determine how different pavement designs and materials respond to load testing prior to integration on the road. Since its inception in 2015, the program has resulted in approximately $1.66 million in expenditures.

05. VTTI Vehicle Fleet The VTTI vehicle fleet is uniquely instrumented for specific experiments. Researchers use the vehicle fleet for Smart Roads tests, and experimental test vehicles are used to develop new instrumentation packages and complement research endeavors. Several of the vehicles are long-term loaners from vehicle manufacturers, VDOT, and other partnering organizations. All vehicles are maintained in-house when possible with fully functional garages and a machine shop. Loaned vehicles are maintained in cooperation with the organization that provided the vehicle.

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PROJECT HIGHLIGHTSRESEARCH PROJECTS

1In September 2017, a VTTI-led team was awarded $4.9 million to provide the National Highway Traffic Safety

Administration (NHTSA) with the information needed to make informed decisions regarding the technical translations of existing Federal Motor Vehicle Safety Standards (FMVSS) and the related test procedures. Automated driving systems that may not have manually operated driving controls (such as steering wheels and brakes) and may or may not have onboard occupants have necessitated a fresh look at many FMVSS. The focus of this project is to investigate options for removing barriers posed by the existing standards and test procedures. The second phase of this project, with additional funding, is expected to follow after the completion of this first phase.

2VTTI continued to collaborate with 38 organizations, including Booz Allen Hamilton, Bosch, GM, Google,

Honda, Mercedes-Benz, Nissan, Southwest Research Institute, and Volkswagen/Audi, under the NHTSA Vehicle Electronic Systems Safety IDIQ contract. This team was organized to respond to all aspects of the NHTSA project, including electronics safe reliability, cybersecurity, vehicle automation, and related human factors considerations. To date, VTTI has received awards of nearly $16 million under this contract.

3VTTI continued to propose task orders released under a contract from the Transportation Research Board

(TRB) of the National Academy of Sciences potentially worth an initial $2 million (with the possibility of additional funds). The task orders are designed to: 1) Identify critical issues associated with connected and automated vehicles that state and local transportation agencies and the American Association of State Highway

and Transportation Officials (AASHTO) will face, 2) Conduct research to address those issues, and 3) Conduct related technology transfer and information exchange activities. VTTI is completing work on the National Cooperative Highway Research Program (NCHRP) 20-102(07) Implications of Automation for Motor Vehicle Codes, which explored the impact of automated driving systems on motor vehicle codes and other related domains.

4VTTI and partners Texas A&M Transportation Institute and San Diego State University — with

support from the Virginia Department of Transportation (VDOT) — continued to conduct cutting-edge research via the Safety through Disruption National University Transportation Center (Safe-D UTC). The Safe-D UTC grant totals approximately $28 million across a five-year span, funding the study of how best to maximize the safety benefits of integrating technologies such as automation and connectivity into the transportation system. Motivated by an overall desire to promote safety on U.S. roadways, the Safe-D UTC is focusing on three key areas: 1) Performing innovative research that is led by the largest consortium of transportation safety researchers in the nation and is largely focused on advanced-vehicle technologies, transportation as a service, and “big data” analytics; 2) Education and workforce development; and 3) Sharing research findings with the broader transportation community through a robust technical transfer process. The Safe-D UTC award is representative of the hard work and dedication VTTI researchers have collectively put into studying the future of transportation. It provides continued opportunity to work toward the safe and efficient development and deployment

of the next generation of vehicles and technologies, inform national discourse about how best to mitigate rapidly growing transportation challenges, offer students unique hands-on experience in the field of transportation research, and provide more opportunities in the workforce.

5VTTI continued to serve an integral role in the Virginia Tech Intelligent Infrastructure initiative,

particularly in the area of advanced-vehicle research and development. In partnership with VDOT, the institute is expanding its Smart Road testing capabilities. The Surface Street Expansion and Live Roadway Connector were both completed during FY18, and completion of the first two phases of the Rural Roads expansion is anticipated next year. Collectively, the expansions are dubbed the Virginia Smart Roads and will facilitate edge-and-corner, tailored, advanced, unique test-bed options for self-driving ground vehicles.

6The Virginia Smart Roads also includes construction of the Automation Hub, located adjacent to the

Surface Street expansion. The building will house advanced-vehicle initiatives that will facilitate cutting-edge collaborations focused on advanced-vehicle research and development. The Automation Hub will also serve as home to the Intern Hub program, which was initiated with soft-start partner Continental Automotive. The Intern Hub fosters collaboration between industry partners, VTTI researchers, and leading students from Virginia Tech. Student interns work for industry partners while in Blacksburg through collaborative sponsored research with VTTI faculty. Each summer, the interns

leave Blacksburg for positions at their respective industry employer for a direct integration into the company’s business and engineering processes. This experiential learning program, which starts as early as a student’s sophomore year, will go into full effect during FY19, with plans for growth to at least four industry partners.

7VTTI continued to develop relationships with both public and private sponsors. This year, VTTI initiated

several new relationships with proprietary sponsors, which are likely to result in continued funding in future years.

8VTTI continued to work on a contract sponsored by NHTSA to study how driver expectations for partial

vehicle automation change how drivers interact and use partial vehicle automation with different capabilities. This unique project uses a vehicle customized by VTTI that operates at different capability levels to manipulate capability independently from driver expectation. This work is scheduled to conclude in January 2019.

Surface Street Expansion, Open Now

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9VTTI was awarded a contract with Transurban to conduct motorcycle safety-related research.

10VTTI worked on a project funded by the National Surface Transportation Safety Center for Excellence

(NSTSCE), the objective of which is to develop an algorithm that can provide likelihood estimations for the potential paths of lead vehicles. The scenarios of particular interest in this project are those in which the lead vehicle is approaching an intersection or parking lot at which the driver has an option of turning right.

11Another NSTSCE-funded project served as a proof of concept, varying the nature and onset of

countermeasure interventions intended to target drowsy driving episodes. Interventions to combat drowsiness addressed driver workload, either physical or cognitive, under the assumption that low workload environments may occasion drowsy driving episodes. Results suggest that workload-based countermeasures (physical or cognitive) can effectively combat drowsiness and re-engage drivers.

12In conjunction with VDOT, VTTI continued to expand the capability and utility of the Virginia

Connected and Automated Corridors (VCC/VAC), with expenditures during FY18 of nearly $600,000. VTTI extended the VCC architecture to support the broadcast of signal phasing and timing data for 30 intersections on the Route 7, US 29, and US 50 corridors in Arlington County, Va. VTTI also added a real-time process that makes VCC data available to the VDOT smarterroads.org public data-sharing website.

13In partnership with VDOT, VTTI created a proof-of-concept work zone builder (WZB) application.

The WZB is a tablet application that allows VDOT work zone inspectors and construction contractors to lay out their work zone designs over a photo map while suggesting placement of various work zone features based on the requirements of the Virginia Work Area Protection manual. WZB compiles the completed work zone design into a data package that is published to the VCC Cloud, where it can be made available to connected and automated vehicles and will fulfill the requirements for VDOT work zone management. The proof-of- concept

WZB is being used to provide specifics for a fully featured version 1.0 of the application, to be delivered in 2019.

14VTTI procured and installed a real-time kinematic GPS correction system on the VCC in Northern

Virginia to support higher accuracy GPS data. The system provides additional GPS information to GPS receivers, enabling greater accuracy in location coordinates. The GPS real-time kinematic system will be used by VTTI to support demonstrations and research activities that require greater accuracy, such as lane-level connected-vehicle applications and pedestrian applications.

15VTTI completed the VCC to support testing of new standardized message concepts for the Advanced

Message Concept Development project with the Crash Avoidance Metrics Partnership (CAMP). These message extensions supported the test and evaluation of concepts in a real operational traffic environment. Follow-up work to create a nationally interoperable message strategy with the US DOT and CAMP is in the planning stage, with an award expected early FY19.

16VTTI continued to serve as a subcontractor to Morgan State University on its Tier 1 UTC, Urban

Mobility & Equity Center (UMEC). UMEC is federally funded as a Tier 1 research center through the Fixing America’s Surface Transportation (FAST) Act. UMEC seeks to bolster the scientific foundation and discern equity implications for policies that focus on urban mobility. UMEC will contribute to the body of knowledge on which planning and policies are based by researching transit/paratransit and freight planning and operations; buyers’ acceptance, affordability, and government promotion of connected and automated vehicles; and the distribution of transportation costs and benefits, including user fees and taxes. Research focus areas include increasing access to opportunities, smart cities, novel modes of transport, systems integration, analytical tools to optimize movement, and regional planning.

17VTTI was awarded two competitive projects as part of UMEC: one on devising eco-driving strategies

for transit buses and one on multi-modal traffic signal control.

18VTTI was awarded a Ford effort on developing multi-

modal travel-time prediction models.

19The Xerox Palo Alto Research Center (PARC) and VTTI continued their work

on an ARPA-E-funded project developing the Collaborative Optimization and Planning Transportation Energy Reduction (COPTER) control architecture. The architecture represents a complete solution for the TRANSNET goal, with comprehensive transportation network modeling, a decision-theoretic approach for system optimization, and explicit human behavior and influence modeling to maximize real-world impact. This project leverages PARC competencies in model-based control of complex systems and human cognitive modeling, the recognized leadership of VTTI in transportation modeling and control, and substantial incumbency of Xerox as a provider of transportation service solutions to U.S. cities to create a project that is meaningful, executable, and transitionable.

20VTTI continued its work on a U.S. Department of Energy project to develop a novel Eco-Cooperative

Automated Control (Eco-CAC) system that integrates vehicle dynamics control with connected- and automated-vehicle applications. The approach is revolutionary in that it develops a next-generation, vehicle dynamics-controlled connected- and automated-vehicle system that builds on existing connected- and automated-vehicle technologies to reduce the energy/fuel consumption of internal combustion engine vehicles (ICEVs), battery-only electric vehicles (BEVs), plug-in hybrid electric vehicles (PHEVs), and hybrid electric vehicles (HEVs). The development of the Eco-CAC system will involve the following key steps and components: 1) Develop a connected-vehicle eco-routing controller that can be used with the above vehicle types. This unique eco-router will compute vehicle routings optimized for the individual user and entire system. 2) Develop a speed harmonization controller that regulates the flow of traffic approaching bottlenecks in the network. This controller will be fully integrated with the vehicle router, resulting in a unique strategic controller that can route traffic away from congested areas and regulate the flow of traffic entering congested areas. 3) Develop a multi-modal (ICEVs, BEVs, PHEVs, and HEVs) Eco-Cooperative Adaptive

Cruise Control-I (Eco-CACC-I) controller that computes and implements optimum vehicle trajectories along multi-intersection roadways in consideration of dynamic vehicle queue predictions. 4) Develop an Eco-CACC-U controller that provides local longitudinal energy-optimal control in consideration of the homogenous and non-homogeneous vehicle platooning of ICEVs, BEVs, PHEVs, and HEVs.

21VTTI continued to work with the Federal Highway Administration (FHWA) and AASHTO to provide data

sets and support to several state department of transportaiton research teams working on Phase III Implementation Assistance Program projects. The goal of these efforts is to identify safety problems and generate countermeasures that reduce risk and prevalence. The projects have moved on to the implementation phase, resulting in the deployment of research-driven countermeasures expected to improve traffic safety.

22VTTI worked with FHWA to provide data sets to several research teams working in the second phase

of the FHWA Broad Agency Announcement related to traffic safety countermeasures. These efforts have transitioned from a pilot research phase into full investigations and continue to leverage the VTTI naturalistic driving data to decrease risks across all roadway users.

23As part of its role as operator of the Second Strategic Highway Research Program Naturalistic

Driving Study (SHRP 2 NDS) data set, VTTI provided data to support dozens of research projects, primarily geared toward advancing transportation safety as sponsored and performed by academic institutions, state departments of transportation, the federal government, research

Rural Roadway Expansion, Opening 2019

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organizations, and private industry partners. VTTI is in the planning stages for the next phase in the operation of this data set, which will begin in January 2020.

24VTTI was awarded additional projects to increase accessibility to and improve the research value

of the SHRP 2 NDS data, including approaches to increase the amount of data accessible outside of secure environments, approaches to de-identifying location information, and methods to allow for remote access to the data.

25Institute researchers continued work with the FHWA to provide support and expand the

capabilities of a secure data enclave at the Safety Training and Analysis Center, which allows secure access to the SHRP 2 NDS data for federal employees, state departments of transportation, and their research partners.

26VTTI submitted for the approval of the International Organization for Standardization (ISO) definitons

and annotations for naturalistic driving studies. The goal of the submission is to provide a standard vocabulary for coding the characteristics of safety-critical events (e.g., crashes, near-crashes) occurring in naturalistic driving studies such that a common terminology is created for monitoring, coding, and analyzing naturalistic driving data.

27VDOT and VTTI continued its accelerated pavement testing program, which uses a heavy-

vehicle simulator that continuously applies a weighted load to test pavements for several months. This testing simulates the natural wear and tear caused by heavy trucks on road surfaces. The program is expected to result in cost savings in road maintenance and will enable

VDOT to determine how different pavement designs and materials respond to load testing prior to integration on the road. Since its inception in 2015, the program has resulted in approximately $1.66 million in expenditures.

28In 2014, VTTI began work in collaboration with several departments across campus to develop a

health and injury control center. This evolving center is designed to enhance research opportunities that promote driver health and wellness and reduce injuries. To date, collaborating departments include Fralin; Psychology; Biomedical Engineering; Human Nutrition, Foods, and Exercise; the Virginia Tech Center for Autism Research; Computer Science; Gerontology; Construction; the Virginia Tech Carilion Research Institute; the Virginia Tech Child Study Center; and the Virginia Tech Child Development Center. During FY18, faculty and researchers working under this initiative submitted white papers and proposals to several organizations, including the Center for Transformative Research on Health Behaviours (CTRHB), the Motor Carrier Safety Assistance Program (MCSAP), NSTSCE, the Federal Motor Carrier Safety Administration (FMCSA), the National Institutes of Health (NIH), the National Institute of Occupational Safety and Health (NIOSH), the NCHRP of the TRB, and the Federal Transit Administration (FTA). Through these efforts, the team continues to search for funding opportunities and possible collaborations.

29Institute researchers collaborated with Virginia Tech departments, including Biomedical Engineering and

Mechanics (BEAM), to foster dual appointment opportunities among VTTI faculty where strategically advantageous. Two VTTI researchers now hold appointments, with one additional researcher beginning an appointment in Fall 2018.

30VTTI continued as a subcontractor to North Carolina

A&T State University on its Tier 1 Center for Advanced Transportation Mobility (CATM) UTC. CATM is a consortium consisting of three higher education institutions: North Carolina Agricultural and Technical State University (lead), Virginia Tech, and Embry-Riddle Aeronautical University – Daytona Beach. These institutions collaborate on projects focused on identifying solutions to mobility concerns within two primary areas: 1) Enabling safe and efficient mobility for vulnerable road users and 2) Optimizing mobility in emergencies. The center conducts research, outreach, and educational activities to address the transportation needs of an extremely broad spectrum of the U.S. population, thereby helping the nation maintain its competitive advantage in the global economy. VTTI researchers are leading CATM UTC studies focused on providing first and last-mile connectivity for vulnerable road users (VRUs); providing an application development platform to assist VRUs in moving through any space from a current location to a destination; and surveying VRUs to better understand their unique mobility problems, perspectives, needs, and hoped-for solutions.

31VTTI continued to work with the University of Alabama at Birmingham (UAB) and the NIH-

National Eye Institute on a naturalistic driving study assessing vision impairment among older drivers. Driving is a highly visual task, and older adults have a high prevalence of vision impairment compared to other ages. Most studies addressing visual risk factors for MVCs by older drivers use vehicle accident reports as the primary outcome, an approach that has several methodological

limitations. Naturalistic driving research methods overcome these challenges and involve installing a high-tech yet unobtrusive data acquisition system (DAS) in an older driver’s own vehicle, operating whenever the vehicle is turned on. The DAS continuously records multi-channel video of driver and roadway, sensor-based kinematics, GPS location, and presence of nearby objects in front of the vehicle, providing an objective measure of driving exposure (miles driven), which are all recorded onto a data drive in the DAS. In this naturalistic driving study, the purpose is to examine the relationship between seniors’ vision and crashes and near-crashes, lane-keeping, turning at intersections, driving performance during secondary task demands, and the role of front-seat passengers. Results of the on-road driving evaluation are compared to objective indicators of driving safety derived from the naturalistic data. Data collection is expected to continue through late 2018.

32VTTI researchers with the Safe-D UTC examined senior drivers’ adaptation to mixed-level automated

vehicles. The aging of society will continue to impact all of society’s major institutions in a variety of ways for decades

Automation Hub, Opening November 2018

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to come. Major areas that will be affected include finance, housing, health, and transportation. Automated-vehicle technology has the potential to assist older drivers by reducing exposure to hazards. Such technology can help compensate for declining functional health and related abilities often seen in seniors (e.g., cognition, perception, psychomotor skill, and physical abilities such as strength, balance, flexibility, stamina, and reaction time). However, this can only work if technology designers, policy makers, and other stakeholders fully consider the needs and feelings of this growing cohort. The objective of the proposed project is to examine seniors’ attitudes toward automated-vehicle technology prior to any substantive exposure or use, then again after having the opportunity to explore and use automated-vehicle technology in the real world for six weeks. Participants were asked to fill in before/after surveys, weekly surveys, and to contribute to focus group sessions. Results and data will be productized and shared with key stakeholders.

33VTTI continued to collaborate with the University of New South Wales (UNSW) on the Australian

Naturalistic Driving Study. Led by researchers at the Transport and Road Safety Group at UNSW and Monash University Accident Research Centre, the Australian consortium supporting this research effort also included funders and stakeholders from the central government and a broad array of industry partners. The goals for this effort are to document normative driving behaviors in Australia and to investigate the interactions of motor vehicles with bicyclists and pedestrians. Data collection was completed, and preparations are being made for data analysis.

34VTTI collaborated with researchers from the Texas A&M Transportation Institute and partners in the

ride-share industry to identify factors that affect when parents of young children use or do not use child safety seats in ride-share vehicles. This information is being used to create an informational website designed to educate both parents and ride-share drivers about existing laws and regulations across the country, as well as the benefits and guidelines for usage of child safety seats.

35VTTI worked with researchers at the University of Virginia to investigate the driving performance

of newly licensed teen drivers with autism compared to newly licensed drivers without autism and experienced adult drivers. This study uses a unique dual-methodology interface, where the same participants drive in a driving simulator followed by driving an instrumented vehicle on a similar course on real roads.

36VTTI partnered with the University of Michigan Transportation Research Institute and Chalmers

University on a project sponsored by the Automobile Alliance that is evaluating various epidemiological methods of estimating crash risk using naturalistic driving data.

37VTTI researchers worked with the Transportation Association of Canada and the Canadian Council

of Deputy Ministers of Transport to develop a website for the Canada Naturalistic Driving Study. This website will provide a public portal to allow researchers and interested safety professionals a method to assess what type of data are available within this public data set, as well as a query tool to assess not only the type of data but also the quantity of data available within this naturalistic driving data set.

38VTTI researchers conducted additional data coding to better assess parent/teen interactions

and secondary task engagement by teen drivers using the Uniform Naturalistic Teenage Driving Database. This additional data coding was performed by VTTI researchers in collaboration with researchers at the National Institutes of Child Health and Human Development and EMMES, Corp.

39VTTI researchers evaluated the prevalence of the engagement of driver assistance systems by drivers

and secondary task engagement and errors when using driver assistance systems. This work is sponsored by the State Farm Mutual Automobile Insurance Company.

40The impact of driver monitoring and feedback on teen driver secondary task engagement was

evaluated for an NSTSCE project. This study used the Driver Coach Study database where case-cohort control segments were identified and coded by trained data coders. Using these newly coded data, the prevalence of secondary task engagement was evaluated as compared to

the control study, which indicated a decrease in high-risk secondary tasks in the presence of a monitoring and feedback system.

41An onboard multimedia training program was developed by VTTI

researchers to teach drivers about the automated-vehicle systems that are present and available on a vehicle. This multimedia presentation used a tablet display on the center stack and an instrument panel display. This project was conducted for the Safe-D UTC.

42VTTI was awarded an FMCSA project to research how developers of highly automated commercial vehicles

(HACVs) and their applications can ensure safe testing and deployment. VTTI is developing a safety performance baseline to apply to future HACVs from existing commercial vehicle human-driver road data. The investigation is designed to assess which drivers should be used to define a baseline across a range of operational design domains and vehicle conflict types (i.e., low-level conflicts, near-crashes, and crashes). VTTI is also investigating how developers can ensure sensor integrity and performance, how vehicle maintenance and inspection can be handled, and the roles FMCSA may have in these processes.

43VTTI was awarded an FMCSA project to research the barriers that are limiting the adoption of automatic

emergency braking (AEB) technology on commercial vehicles. VTTI is investigating technology and market barriers that are affecting fleets’ decision-making on AEB and is developing strategies for overcoming those barriers to accelerate the adoption of AEB systems.

44VTTI continued working with NHTSA to acquire approval from the U.S. government Office of

Management and Budget to proceed with the Field Study of Newer Generation Heavy Vehicle AEB Systems, which was originally awarded in September 2016. Once approval is acquired, VTTI will instrument data recorders on 150 heavy vehicles equipped with AEB systems during revenue-producing operations. The study will use the data to evaluate real-world performance, understand how drivers interact with the systems, and provide data for modeling the safety benefits of the technology.

45VTTI partnered with San Diego State University on the development of models for predicting

individual crash involvement based on driver characteristics (e.g., driving style, demographics, behavioral history) using naturalistic driving data. The project also involved collaborations with Delft University in The Netherlands and the driving analytics company SmartDrive.

46VTTI collaborated with NSTSCE to investigate truck following distances and car cut-in behavior

in naturalistic conditions. Cut-in is often mentioned as one of the possible hurdles for wide-scale deployment of truck platoons. Even if a platooning application can safely handle cut-ins, they can disrupt the platoon and greatly reduce the benefits in terms of fuel savings, safety, and transport efficiency. The project will leverage existing naturalistic driving data housed by VTTI to study car cut-in behavior relative to large trucks in manual driving. The key expected result from this analysis is a function estimated from the naturalistic data representing the relation between truck-to-truck following distance and car cut-in rate. This may enable the identification of a following distance “cut-off point” below which car drivers typically refrain from cutting in between trucks. This information will be useful both for the engineering of platooning applications and policy development.

47VTTI collaborated with RMJ Technologies and was awarded a project through the National Academy of

Sciences Transit IDEA program to evaluate a computer-based operator education and training program in a transit agency.

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48VTTI completed a Transport Canada-funded project to develop guidelines for limiting driver

distraction for devices with visual displays.

49VTTI was awarded a contract with Volvo Trucks to work in the QUADRAE national Swedish project

on driver modeling and simulation. The project involves several other new collaboration partners that include Volvo Cars, Autoliv, and VTI (the Swedish National Road and Transport Research Institute).

50VTTI was invited to submit a sole-source proposal for an internal NIOSH proposal (i.e., acting as a

subcontractor for NIOSH) to evaluate a fatigue management program in commercial trucking operations. The proposal is expected to be awarded in August 2018.

51VTTI collaborated with NSTSCE and the National Occupational Research Agenda (NORA) Oil and Gas

Extraction Sector through affiliates within the Center for Disease Control (CDC) and NIOSH to investigate factors among oil and gas service fleets (e.g., shift, roadway, and driver performance) that are associated with a high number of vehicle-related fatalities. A pilot study was completed, and efforts are underway to identify good practices among large fleets and distribute them among small fleets while collecting naturalistic driving and in-vehicle monitoring system data.

52In collaboration with STI, Inc., VTTI submitted a Phase 2 SBIR to NIOSH. If awarded, the proposed

study will evaluate the efficacy of a simulator-based hazard detection training program for commercial motor vehicle drivers. The novel feature of this proposed study is the evaluation of the training program, which will occur in the real world on open roads.

53VTTI partnered with the Virginia Tech Psychology Department and Texas A&M University to evaluate

tacit communication behaviors of drivers at pedestrian crosswalks. The data collected in this project were used to successfully defend a psychology department dissertation.

54VTTI and the Virginia Center for Coal and Energy Research at Virginia Tech were awarded a

subcontract under the University of Kentucky to introduce an autonomous shuttle car into room-and-pillar coal mines. Funding originates from the Alpha Foundation, which was established to improve mine safety and health. This is a four-year project involving a cognitive work analysis on the framework of the organizational work domain, which is important for understanding and outlining the constraints in replacing manual roles with automated systems. Further work involves development and testing of the autonomous shuttle car vehicle.

55The VTTI-affiliated Global Center for Automotive Performance Simulation (GCAPS) worked to

establish clients in the India tire and transportation market. GCAPS also realized significant growth in China, providing great upside potential.

56VTTI was awarded the U.S. Department of Energy project Investigating the Health Impacts of Outdoor

Lighting. This project comprises the measurement of the impact of lighting on melatonin levels in realistic outdoor lighting levels. Using a variety of correlated color temperatures, the lighting impact on drivers, pedestrians, and those experiencing light trespass will be measured in a naturalistic environment for a period of two to four hours. The results should provide guidance for decision makers selecting light sources for outdoor spaces and inform the

public on the potential health impacts of outdoor lighting. This project is a partnership between VTTI and Thomas Jefferson University.

57VTTI was selected for the NCHRP 5-23, which will study the threshold of lighting

that can possibly have an impact on the alertness and health of drivers.

58VTTI was awarded two projects studying the lighting needs at intersections in Virginia and in

Illinois. These efforts will be collaborative and will include testing of lighting on the Smart Road and in real-world conditions. The results should inform the development of new lighting standards in each of the sponsoring states.

59VTTI continued to investigate the impact of lighting on driver behavior through continued

studies of measured lighting in Washington and North Carolina, comparing it to the driver behavior measured in the SHRP 2 NDS data set.

60Researchers completed a project developing the needs for lighting in parking lots and parking

garages. Sponsored by the California Energy Commission and the Illuminating Engineering Society (IES), the project considered the visibility of pedestrians, trip hazards, and moving vehicles in parking lots and parking garages. The results have been used as input to the California Title 24 legislation.

61VTTI performed a demonstration project for the implementation of solid state lighting in Richmond,

Va. The city was shown three different luminaires and a dimming control system, which was characterized by the

VTTI lighting measurement system. A final specification is being developed.

62VTTI completed a study of the impact of roadway lighting, specifically the impact of the spectral

content on soybean growth and yield for the Illinois Center for Transportation. The results showed little significant impact from the spectral content of the LED and HPS lights on the soybeans. The study results were published in a report in June 2018. The first volume, pertaining to light intensity versus varietal and location, was published in 2017.

63VTTI completed research showing how alternative cooperative dynamic headlighting for two vehicles

approaching each other could be used to reduce glare to both drivers. The project, entitled 4U Lighting, used vehicle-to-vehicle communications to sense the proximity of each car by the other and automatically turned on a light on the side of each vehicle to help light the way for both drivers. The system showed great benefits for increasing the visibility distance for pedestrians in an unlit environment.

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64VTTI conducted a before-and-after study that examined the effects of various curve warning

and curve delineation systems on a curvy rural road. Active and passive treatments zwere examined on nine curves using participants in a human factors study, as well as naturalistic data collected via pneumatic tubes. The results were used to provide guidance for VDOT in selecting appropriate curve warning and delineation systems on rural roads.

65In an effort to improve how VDOT conveys travel information to truck drivers, VTTI conducted

surveys and interviews of truck drivers and other industry personnel to find out how they receive such information, what information is most important, and in what ways dissemination of the information could be improved.

66VTTI has completed a study investigating the potential for a moth effect of drivers being drawn

to bright lights and flashing objects, particularly during the period of driver inattention.

67VTTI continued its efforts in working with the visibility of police vehicles. Eight agencies,

including state police in Virginia, have had new lighting and markings added to their vehicles to assess visibility and officer comfort.

68VTTI worked on a project investigating the potential for a virtual reality environment to be

used for pedestrian and roadway research.

69VTTI developed an application to be used in assessing lighting in a work zone and to measure

a glare threshold.

70VTTI conducted an assessment of parking lot crashes using the SHRP 2 NDS data set to

address a knowledge gap by identifying driver behavior in parking lots and the infrastructure and environmental characteristics associated with safety-critical events in parking lots. By mining the SHRP 2 NDS database, crashes, near-crashes, and baselines in parking lots were identified and odds ratios were calculated to approximate the relative critical event risk compared to normal baseline conditions. This work is an important step toward a better understanding of everyday driver behavior, crash risk, and crash causation in parking lots.

71VTTI was awarded a project to investigate contributing factors and their impacts on fixed-object crashes. The

project uses the SHRP 2 NDS data, which include detailed video files, time-series data, and roadway information for nearly 2,000 events relevant to fixed-object crashes. This study provides insights into how and why fixed-object crashes occur and what countermeasures can be used to prevent such crashes.

72VTTI was awarded an FHWA project to quantify the lives saved and injuries prevented nationwide due

to the use of a selected number of safety infrastructure categories. This is the first attempt made nationwide to estimate the safety benefits of key transportation safety infrastructure devices. The project will enable federal and state transportation agencies to qualitatively demonstrate the fatalities and injuries prevented by transportation infrastructure investments and provide justification for needed infrastructure.

73VTTI provided extensive support for lighting and visibility applications within the Commonwealth of

Virginia. The color of light sources, particularly LED, has

been a major topic of discussion.

74VTTI partnered with the Mid-Atlantic Aviation Partnership

(MAAP) on a project to evaluate air-to-air and air-to-ground deconfliction on the Virginia Smart Roads Surface Street Expansion. Dedicated short-range communications (DSRC) and proprietary systems were tested.

75VTTI worked with Nanosonic, Inc., on an FHWA project to investigate how motive batteries

removed from electric vehicles could be reused for such transportation infrastructure applications as uninterruptable power supplies for traffic signals and communication systems.

76VTTI integrated a tethered drone system with a VDOT Safety Service Patrol vehicle to provide real-

time aerial observation of traffic incidents via streaming video to the Salem Traffic Operations Center. The tethered system provides power to the unmanned aerial vehicle (UAV), allowing persistent flight and monitoring.

77VTTI worked with VDOT to obtain aerial imagery of a landslide that resulted in U.S. 460 lane

closures. Use of the VTTI drone allowed collection of high-resolution graphical data that would otherwise be difficult to collect using traditional means.

78VTTI worked with TruWeather Solutions and VDOT on a project to provide highly granular and

timely predictions of winter road weather conditions using climatic models informed by mobile sensors installed on VDOT Safety Service Patrol vehicles in the Salem and Staunton districts.

79The VTTI-affiliated Center for Injury Biomechanics continued to conduct groundbreaking research

into injury biomechanics, injury modeling, and transportation-related injury biomechanics. During FY18, the center director saw new funds totaling more than $10 million. Transportation-related projects awarded included: The NHTSA-funded project Assessment, Evaluation, and Approaches to Modification of FMVSS that may Impact Compliance of Innovative New Vehicle Designs Associated with Automated Driving Systems (VTTI serves as the principal investigator); providing biomechanics guidelines for ATD design and responses in automated-vehicle crashworthiness; an Insurance Institute for Highway Safety (IIHS)-funded project to model collision damage to energy-absorbing guardrail end terminals; a UTC-sponsored project assessing the implications of truck platoons for roadside and vehicle safety hardware; the validation of pedestrian male, female, and child finite element models; the National Cooperative Research Program (NCRP) project Roadside Encroachment Database Development and Analysis; the NHTSA-funded EDR data update; and an experimental and mathematical biomechanics injury research project for NHTSA.

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80VTTI maintains a small data center on its campus and has a much larger high performance computing

(HPC) infrastructure co-located at the Virginia Tech Andrews Information Systems Building (AISB) to take advantage of internal and external high-speed networking and the physical space required to house clustered servers, multi-petabyte HPC storage systems, and a multi-petabyte DB2 data analytics system. During FY18, VTTI more than doubled its research compute resources housed at AISB and approximately quadrupled the GPU accelerated compute resources, an essential resource for advancing VTTI research into artificial intelligence and analysis of unstructured data.

81As part of the overall technology maintenance plan of the institute, VTTI acquired and installed

next-generation storage technology in support of a data analytics platform.

82VTTI installed a replicated, database disaster recovery system at the Virginia Tech Carilion

Research Institute (VTCRI) facilities in Roanoke to support critical project data.

83VTTI migrated SHRP 2 InSight and other applications to the Amazon Web Service (AWS)

cloud platform, providing greater availability of sponsors’ websites accessed by the research community and more agile system deployment.

84In response to growing cybersecurity needs, VTTI established a designated Information Security

Officer (ISO).

85VTTI configured a Disaster Recovery Site for research data at remote locations.

86The institute continued to be one of the university’s leading data-intensive research programs. VTTI

HPC storage platforms from Isilon and Qumulo continued to grow and now host more than 5 petabytes of critical research data assets.

87The network backbone between the Virginia Tech campus and the VTTI facility upgraded 1G to 10G;

all network switches within the VTTI facility upgraded

to support 10 gig interswitch links. This infrastructure is essential for greater data demands, including higher resolution (e.g., 4K) video formats and the support of all data-intensive research programs at the institute.

88The continued advancement of the current Internet Protocol, IPv6, throughout the VTTI and Virginia

Tech networks enables enhanced security and flexibility for connectivity between researchers, data reduction labs, and HPC resources, as well as being an essential technology for connected-vehicle research.

89Through the Virginia Tech Internet2 connection, the high capacity network of VTTI was extended

to provide an essential link to national and international research partners, enabling data gathering and dissemination.

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PROJECT HIGHLIGHTSEDUCATION AND OUTREACH

(For more information about student involvement, please refer to the Publications and Presentations sections of this report).

1VTTI houses close to 90% of national and international naturalistic driving data in the world. With onsite data

reduction labs and extensive analysis experience, the institute realized the role it could play in helping others mine and reduce its data to answer subsequent research questions about driver behavior and performance. From a student perspective, the labs provide myriad opportunities for both undergraduates and graduates to receive advanced training and participate in data reduction and analysis activities conducted at VTTI. During FY18, the data reduction lab at VTTI employed 63 Virginia Tech students, of which 58 (92%) were undergraduates.

2VTTI planned and executed the 2018 Women’s History Month Celebrating Women in Transportation: Land,

Air, and Sea. This all-day event was held at the US DOT headquarters in Washington, D.C., and included activities and discussions engaging more than 250 transportation students and professionals. Secretary of Transportation Elaine Chao provided remarks during the event. More information about the event can be found at https://www.vtti.vt.edu/wts.vt.2018/.

3VTTI researchers continued to serve on the Virginia Tech Intelligent Infrastructure initiative. In

collaboration with the Virginia Tech Office of University Planning and LINK, The Center for Advancing Industry Partnerships (a Virginia Tech entity), the initiative hosted a one-day Industry Partnerships Roundtable at the Research Center in Arlington, Va. This roundtable

consisted of presentations and breakout discussions focused on strengthening existing collaborations and developing new connections between Virginia Tech and potential partners in the construction and infrastructure fields. This particular industry emphasis was rooted in the vision for the Intelligent Infrastructure initiative, a focus of the Virginia Tech strategic and master planning efforts.

4GCAPS provided internships for Virginia Tech mechanical engineering students and actively

supported the Patrick Henry Community College Motorsports Program. GCAPS representatives also sat on advisory committees for Danville Community College and hosted interns from the Danville-area Academy for Engineering and Technology program, which comprises high school students interested in engineering careers. Currently, GCAPS is providing 10 paid apprenticeships in the IT area. The apprentices will receive a certificate upon completion and are using advanced modeling and simulation tools.

5In collaboration with affiliated faculty in the departments of civil and environmental engineering,

industrial and systems engineering, psychology, and statistics, VTTI is offering the Human Factors of Transportation Safety Graduate Certificate Program (HFTS GCP). The certificate program is designed to create and deliver to students in-depth knowledge and marketable skills applied to the research, evaluation, maintenance, improvement, and protection of all ground transportation users and their communities, all from a human factors perspective. Students enrolled in the program will become leaders in the field of transportation safety within the Commonwealth, across the nation,

and internationally. Four graduate students are currently enrolled in the certificate program; four certificates have been awarded since the program began in 2014.

6A VRU-MAP project, conducted under the North Carolina A&T State University CATM

UTC, funded five undergraduate computer science students who are working on developing various aspects of the application intended to support and enhance VRU mobility and safety.

7In collaboration with TRB of the National Academy of Sciences, VTTI generated and made available

transportation data sets that were delivered free-of-charge to nine graduate students around the country, selected through a competitive process, to support their theses and/or dissertation research.

8At the request of VDOT, VTTI created a Connected and Automated Vehicle training program for VDOT

employees. The program was designed to provide information to VDOT employees to keep them informed about connected- and automated-vehicle development relative to VDOT operations. The program addressed connected-vehicle technologies and standards, expected connected- and automated-vehicle deployment timelines, technical details about connected-vehicle equipment deployed on the VCC, details of initial applications deployed on the VCC, and roles and responsibilities of VTTI and VDOT system operators. An initial training session was delivered to 100 VDOT employees at their PSTOC facility in Fairfax, Va. Based on feedback from the

initial session, VDOT will be offering this program again to a broader set of VDOT employees in the near future.

9VTTI developed and deployed a VCC website that describes all aspects of the VCC, including the

purpose, goals, technical description, and how interested third parties can become involved. More information is available at https://www.vtti.vt.edu/vcc/.

10The Safe-D National UTC is dedicated to fostering education and workforce development

opportunities. Each research project funded through the Safe-D UTC must include student support at any level (i.e., undergraduate and/or graduate). During FY18, Safe-D UTC researchers reported supporting 54 university-level students on their projects, including 20 students from underrepresented populations. Safe-D encourages project teams to include students in every aspect of research, such as reviewing literature and methods, assisting with the development of experimental design and study protocols, assisting in executing a research experiment, contributing to project reports and publications, and

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presenting research results at conferences and seminars. Most research projects funded through Safe-D also contribute to a student’s thesis or dissertation.

11Safe-D UTC researchers were actively engaged in teaching efforts at each of the consortium

universities. During FY18, researchers reported teaching 15 graduate courses, reaching 218 students, and teaching 16 undergraduate courses, reaching 758 students.

12At all levels of education, Safe-D UTC activities aim to inspire and educate the next generation of

transportation professionals. Safe-D research projects must include an education and workforce development component as an output of each project. This requires project teams to identify specific education and workforce development products from their projects for development and dissemination. These products can include K-12 curriculum modules to be used by teachers at various levels to educate students about the results of project research; full university-level course development; outreach to the public; and educating the public about various aspects of research and transportation safety. For example, the Safe-D UTC project K-12 STEM Program: Exploring the Science of Retroreflectivity developed a draft STEM curriculum and associated materials. Allen Academy (Bryan, Texas) 5th- and 6th-grade science classes used and evaluated this curriculum and materials developed to introduce students to the scientific principles of visible light, including retroreflectivity. These materials were also used during the Virginia Tech Science and Engineering Festival in October 2017. Another Safe-D UTC project, Countermeasures to Detect and Combat Driver Inattention While Driving Partially Automated Systems, resulted in a demonstration as part of the education and workforce development plan of the project. This demonstration included hardware and simulation software, which was used for the USA Science and Engineering Festival in April 2018. This outreach event reached both K-12 students and parents, totaling 365,000 attendees. The Safe-D National UTC was represented at the festival at a booth staffed by volunteers from VTTI and Texas A&M Transportation Institute. The booth included demonstrations related to transportation safety and innovative technology in the transportation industry.

13Safe-D UTC researchers focused on encouraging students to pursue STEM fields and enter the

transportation workforce through outreach at events such as the VDOT Northern Virginia District Annual Transportation Career Fair, the Virginia Tech Science Festival, and outreach performed with K-12 teachers and directly with students in their classrooms.

14The Safe-D National UTC supported a collaborative summer internship program held at Texas A&M

Transportation Institute during Summer 2018. Through this program, interns are matched with mentors and research projects, including many led by Safe-D faculty, to gain hands-on experience in transportation research.

15The Safe-D National UTC is committed to supporting partners at consortium members’ respective state

departments of transportation. For example, the UTC participated in the 13th annual VDOT Transportation Career Fair. This event targets high school students from the surrounding area, introducing them to careers involving the transportation industry. Along with more than 100 different exhibitors spanning the industry (construction, military, government, etc.), Safe-D researchers and students spoke with hundreds of students about the mission of Safe-D and VTTI, the types of projects that are conducted, and careers in transportation. The event provided an opportunity to display innovative endeavors happening within the transportation industry and to inform students and excite them about the future of transportation.

16The Safe-D National UTC developed plans to support the VTTI Intern Hub. With support from public and

private sponsors and Safe-D, the Intern Hub will provide advanced training and practical hands-on experience to students in a variety of transportation-related areas and the opportunity to collaborate with faculty across Safe-D consortium universities.

17Safe-D National UTC researchers presented at various science fairs and science nights held at

schools across Virginia.

18The Safe-D National UTC was a stakeholder and partner in the planning and realization of the next

Choices and Challenges forum, a local community event that will be held in Spring 2019 focusing on the impact of automated vehicles in rural areas.

19VTTI contributed to the National Operations Center of Excellence

workshop on educating future transportation professionals, showcasing the institute’s novel educational programs, such as those associated with the Safe-D National UTC and VTTI Intern Hub.

20VTTI maintained membership within the ISO Road Vehicle Ergonomics subcommittee and

coordinated the development and publication of two technical reports: 1) Automated-vehicle terms and definitions and 2) Automated-vehicle visual external communication.

21VTTI was awarded a project through the FMCSA High Priority program to provide key information to

driver education students on how to safely share the road with commercial motor vehicles. This project will involve onsite education and hands-on demonstrations at 25 high school driver education programs. VTTI submitted a proposal to the FMCSA High Priority program to expand the scope of its current Share the Road education project.

22VTTI was awarded a National Science Foundation (NSF) proposal to conduct a workshop on the

challenges, benefits, and research needs of displaced workers from autonomous trucks. This workshop was held at NSF headquarters in Alexandria, Va. A multidisciplinary group of 60 researchers discussed the unanswered questions and potential solutions regarding the convergence of automated trucks and truck drivers.

23In collaboration with Ford Motor Company, VTTI conducted research on automated-vehicle external

communications. The project received international television and digital media coverage, including Wired Magazine, Washington Post, City lab, Arstechnica, Fast Company, Reuters, The Guardian, The Globe and Mail, Business Insider, Tech Crunch, The Verge, USA Today, Time Magazine, NPR, CNN, Mashable, and various other media outlets.

24VTTI co-organized the Automated Vehicles Symposium breakout session on Automated

Vehicle External Communication and Human Factors Implications in San Francisco, Calif.

25VTTI sponsored the Entrepreneurship Challenge hosted by the Virginia Tech Apex Center for

Innovation and Entrepreneurship in Blacksburg, Va. There were more than 500 attendees, including students, alumni, and corporate representatives. These attendees watched as 12 finalist teams pitched their business ideas for a chance at $60,000 in prizes.

26VTTI currently employs more than 20 undergraduate and graduate students as on-road

and in-vehicle experimenters.

27Planning began for the Seventh International Naturalistic Driving Research Symposium to be

held in Blacksburg in August 2018. Select papers from the Fifth Symposium, which was held in Blacksburg in August 2016, were published in a special edition of the Journal of Safety Research in December 2017.

28The Driving Healthy website was continually updated to provide tips and information for

commercial motor vehicle drivers. The information includes Eating & Living Healthy and Prevention & Screening. The website is useful not only to professional drivers but also to the general public.

29VTTI continued the development of the FMCSA Data Repository, which, when opened, will host a

number of FMCSA data sets that researchers can use to

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improve traffic safety and operations. Many of these data sets will be available to researchers at no cost.

30VTTI continued to operate the InSight website, which makes information and data elements of the

SHRP 2 NDS available to researchers around the world at no cost.

31VTTI hosted several research groups in its secure data enclave, which allows for access to sensitive

portions of the naturalistic driving data housed at the institute.

32The InSite Canada Data Access website went live. VTTI will continue to operate this website, making

data elements from the Canada Naturalistic Driving Study available to researchers around the world at no cost.

33A VTTI researcher continued to serve on the TRB Human Factors Workshop Committee, providing

valuable input into the full-day workshops that bring together the international transportation human factors community to work on the most pressing problems in the field.

34A VTTI researcher participated in the Virginia Tech Big Data Science Workshop and the NSF West

Big Data Hub Transportation Data Challenge kick-off to assess and improve VTTI capabilities as a transportation data repository.

35A representative from the Safe-D National UTC presented program activities to high school students

at the Thomas Jefferson Symposium to Advance Research

(tjSTAR). VTTI emphasized careers available in transportation and opportunities available to students under the Safe-D Education and Workforce Development Program. tjSTAR is an annual, day-long symposium at the Thomas Jefferson High School for Science and Technology, the Governor’s School for Science and Technology in Northern Virginia. The event offers the opportunity to share student research projects and learn about future research opportunities and potential careers.

36A VTTI researcher was selected to serve as chair of the TRB Operator, Education, and Regulation Committee.

37VTTI research staff organized and planned the TRB Young Driver Subcommittee Mid-Year Meeting.

The topic for this meeting was Teen Drivers and Vehicle Technology. Several speakers were invited, discussion groups were organized, and research priorities were identified to ensure teen driver safety as the field of transportation moves toward automated-vehicle systems.

38VTTI research staff served on the organizing committee for the Teen Driving Research Track for the LifeSavers

Conference held in San Antonio, Tex.

39VTTI staff remained active on the Illuminating Engineering Society (IES) Roadway Lighting

Committee, the Resilient Lighting Committee, and the Outdoor Environmental Lighting Committee.

40VTTI remained active in the International Commission on Illumination (CIE), with one faculty member sitting

on the CIE board and in charge of a research division on outdoor lighting.

41A VTTI researcher was named the conference chair of the 2019

Quadrennial meeting of the CIE.

42VTTI researchers organized and co-sponsored an event with AAA-

MidAtlantic and the Blue Ridge Transportation Safety Board to host a Teen Safe Driving Event at the Roanoke Civic Center. This event was attended by more than 200 driver’s education students from five area high schools in Roanoke and Montgomery counties. Hands-on demonstrations were set up by area volunteers to teach teens about the dangers of distracted driving and impaired driving, the importance of seat belt use, how to navigate a construction zone, and the physics of a crash.

43VTTI co-hosted the inaugural conference of the newly established Association for Unmanned

Vehicle Systems International (AUVSI) Ridge and Valley Chapter and provided automated-vehicle demonstrations on the Smart Road.

44VTTI supported driver’s education programs at four regional high schools in Montgomery,

Roanoke, Bedford, and Mercer counties. During these programs, VTTI truck and bus researchers spoke to teens about how to safely share the road with large trucks. These programs included an in-class discussion and a hands-on demonstration with a VTTI tractor-trailer.

ADDITIONAL ACCOMPLISHMENTS

1Best Paper Award, 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS),

Madeira, Portugal, March 2018. (Hesham Rakha)

2Most Cited Article Award, International Journal of Transportation Science and Technology (IJTST) for

paper: Rakha, H., Ahn, K., & Moran K. INTEGRATION Framework for Modeling Eco-routing Strategies: Logic and Preliminary Results. International Journal of Transportation Science and Technology, 1(3), 259-274. (Hesham Rakha)

32017 Taylor Technical Talent Award for the best paper in lighting-based research, for “Dirt Depreciation in

Solid State Luminaires” (Ron Gibbons, Matthew Palmer, Jason Meyer, and Travis Terry)

4SAE Forest R. McFarland Award for Service (Warren Hardy)

5Outstanding New Assistant Professor, Virginia Tech College of Engineering (Andrew Kemper)

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Center for Advanced Automotive ResearchZac Doerzaph, DirectorThe Center for Advanced Automotive Research focuses on the research, development, and evaluation of next-generation automotive systems. The center is staffed by a multidisciplinary team of dedicated individuals who are passionate about improving the safety and efficiency of our nation’s transportation system. This team strives to solve a broad set of challenges associated with integrating cutting-edge technologies into the vehicles of tomorrow. Primary research areas of the center include crash warning/avoidance/mitigation systems, connected vehicles, driver-vehicle interfaces, crash causation, and vehicle automation.

Center for Automated Vehicle SystemsShane McLaughlin, DirectorThe Center for Automated Vehicle Systems uses an interdisciplinary approach to studying all aspects related to the automation life cycle in the field of transportation. The center conducts pragmatic research based on a scientific approach that emphasizes the importance of safety, security, reliability, and user acceptance. The center is anchored in applied research and is strengthened by collaborations with national and international partners in vehicle automation, including Google, General Motors, and other groups involved in the research, planning, policy, and production of automated vehicles. The goal of this center is to strengthen the safety benefits of automation across all levels of the transportation industry.

Center for Data Reduction and Analysis SupportMiguel Perez, DirectorThe Center for Data Reduction and Analysis Support

provides standardized access to and analysis of naturalistic driving

study data sets housed at the institute. These data sets currently comprise 2.5

petabytes of information about real-world driver behavior and performance. Users

include researchers within and outside of the institute, government entities, and automotive

manufacturers and suppliers. Center services include coding of video and audio data, data quality

assurance, data standardization, data mining, event selection, and data analysis. The center actively supports

data analysis collaborations with external institutions.

Center for Infrastructure-based Safety SystemsRon Gibbons, DirectorThe Center for Infrastructure-based Safety Systems focuses on roadway-based safety systems, such as lighting, visibility treatments, pavement markings, signage, signals, barriers, the interaction of visibility with roadway design, and weather considerations. The center houses the Lighting Infrastructure Technology Group, which conducts research into such topics as sign legibility in foggy conditions and the effects of lighting sources, and the Eco-Transportation and Alternative Technologies Group, which represents a partnership between the institute, the Virginia Department of Transportation/Virginia Transportation Research Council, the Virginia Tech Institute for Critical Technology and Applied Science, the Virginia Tech College of Engineering, and the Virginia Tech Office of the Vice President for Research and Innovation.

Center for Injury BiomechanicsWarren Hardy, DirectorThe Center for Injury Biomechanics is a partnership between the institute, the Virginia Tech Department of Mechanical Engineering, and the Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences. The center conducts research into injury biomechanics, injury modeling, and transportation-related injury biomechanics. Center work includes an in-depth study of 1,000 road-departure crashes at 24 sites across the U.S. to determine conditions such as speed and topography. Other transportation-related injury research includes car crash tests, large-scale tissue testing, NASCAR-Indy restraint testing, advanced restraint tests, guardrail evaluations, child seat evaluations, airbag-induced

CENTERS, GROUPS,& INITIATIVES

eye injuries, the development of a synthetic eye, elbow joint injuries from side airbags, wrist injuries, upper extremity dummy design, posterior rib fractures from side airbags, child dummy neck evaluations, small female neck interactions with side airbags, airbag out-of-position testing, and the development of a pregnant occupant model.

Center for Public Policy, Partnerships, and OutreachMyra Blanco, DirectorThe Center for Public Policy, Partnerships, and Outreach assists with the needed models of regulations for advanced vehicles, such as driver assistance systems and connected and/or automated vehicles. The center provides research to ensure state and federal policies are based on relevant data, develops partnerships to assist in the advancement of new systems, and enhances the research areas and sponsorship diversity of the institute. The center works with stakeholders whose interests are affected by governmental decisions on federal, state, local, or international levels in the development and implementation of automated-vehicle systems.

Center for Sustainable MobilityHesham Rakha, DirectorThe Center for Sustainable Mobility conducts research relevant to society’s transportation mobility, energy, environmental, and safety needs. The center translates the results of research into realistic and workable applications, creates and provides tools needed to apply developed knowledge and processes, and educates qualified engineers to meet today’s transportation demands and tomorrow’s transportation challenges in the areas of transportation network control, large-scale transportation system modeling, traffic state prediction using large data and artificial intelligence techniques, transit bus real-time routing and scheduling, vehicle energy and environmental modeling, transportation system modeling, and eco-transportation applications.

Center for Sustainable Transportation InfrastructureGerardo Flintsch, DirectorThe Center for Sustainable Transportation Infrastructure focuses on asset management; pavement design, analysis,

rehabilitation, and safety; infrastructure management; civil engineering materials; nondestructive testing; and life-cycle cost analyses. The center houses the Infrastructure Management Group and the Sensing, Modeling and Simulation Group. The center initiated a consortium of state highway agencies and equipment manufacturers dedicated to enhancing pavement surfaces. The center also tested a product that extends the life of the road surface and retains de-icing chemicals on the surface, giving road crews time to deploy during inclement weather. The center was instrumental in developing a way to include the environmental impact of road materials in the decision-making processes during road construction.

Center for Technology DevelopmentAndy Petersen, DirectorThe Center for Technology Development specializes in developing, implementing, and maintaining innovative systems for transportation research. The center includes the Mechanical Systems Group, which is responsible for mechanical fabrication to suit the needs of all research projects; the Data Acquisition Group, which is responsible for electronic hardware design and is a pioneer in distributed data acquisition systems; and the Advanced Development Group, which is responsible for software development and includes specialists in machine vision, road tracking, and data analysis.

32 33

Center for Technology ImplementationMike Mollenhauer, DirectorThe Center for Technology Implementation was created to facilitate technology deployment and to leverage existing research investments. The center makes it possible for the institute and its sponsors and clients to participate in early-stage technology implementation programs. Center personnel can help develop a toolbox of modular software solutions that can be applied in new jurisdictions, building smart solutions that combine the best commercial products with customization that can fully address agency goals.

Center for Truck and Bus SafetyRich Hanowski, DirectorThe Center for Truck and Bus Safety focuses on the research, development, and evaluation of heavy-vehicle systems. The center is dedicated to the design, delivery, and implementation of leading-edge research and development efforts aimed at improving the health and safety of heavy-vehicle drivers. The center comprises the Behavioral Analysis and Applications Group, the Human Factors and Advanced System Testing Group, and the Safety and Human Factors Group. Center research includes refining and testing rear-lighting configurations to reduce the number and severity of rear-end crashes, determining safe hours of service for commercial motor vehicle drivers, evaluating causes of drowsiness and providing countermeasures, and developing education programs to keep drivers healthy and alert.

Center for Vulnerable Road User SafetyJon Antin, DirectorThe Center for Vulnerable Road User Safety conducts

research and outreach designed to enhance safety for all vulnerable

road users, including senior and teen drivers, bicyclists, and pedestrians.

Vulnerable road users comprise all age groups and a variety of demographics; their

one shared trait is an increased risk of suffering a traffic-related crash or injury. The center

includes the Teen Risk and Injury Prevention Group and the Senior Mobility Awareness, Safety,

and Health Group. Research includes a naturalistic driving study of novice teen drivers with the goal of

providing real-time feedback, gathering information for driver training, and keeping teens’ parents informed. The center has conducted outreach initiatives designed to provide recommendations for coordinating public and private services for the aged, disabled, and indigent populations.

Global Center for Automotive Performance SimulationFrank Della Pia, DirectorThe Global Center for Automotive Performance Simulation is a world-class facility that provides revolutionary services for both vehicle and tire, including testing, simulation, and modeling. The center comprises the National Tire Research Center, the Southern Virginia Vehicle Motion Labs (SoVa Motion), and the Virtual Design and Integration Laboratory. Collectively, these initiatives provide the full range of services essential for creating a more dynamic product through both virtual and physical development. The center is affiliated with Virginia Tech and the institute and is located in Southern Virginia.

I-81 Corridor CoalitionAndy Alden, Executive DirectorThe I-81 Corridor Coalition is a consortium of stakeholders dedicated to improving the safety, continuity, and efficiency of commercial and personal travel along the I-81 corridor that extends from Tennessee to the Canadian border in New York. This partnership comprises state Departments of Transportation, Metropolitan and Regional Planning Organizations, non-governmental organizations, and private entities from the six corridor states. The focus of the coalition is to study and implement

CENTERS, GROUPS,& INITIATIVES

innovative solutions to challenges specific to travel on a freight-intensive highway serving a variety of geopolitical regions and users. Current focus areas include incident management, development planning, and truck parking.

International Center for Naturalistic Driving Data Analysis at Virginia TechClark Gaylord, Chief Information OfficerThe International Center for Naturalistic Driving Data Analysis incorporates Virginia Tech’s petabyte-scale, high-performance data storage system into the data infrastructure of the institute. This allows analyses of data from multiple naturalistic driving studies using high-performance computational systems to perform more complex computational algorithms and data mining. The 48-node compute cluster of the institute moves data between the field and the data center, decrypts data, prepares data files for ingestion to a 500-terabyte scientific data warehouse, processes video files, and provides a platform for advanced analytical processing. A peta-scale archive file system will ultimately facilitate the long-term storage of numerous petabytes of data while maintaining data in an online state.

Motorcycle Research GroupShane McLaughlin, Group LeaderThe Motorcycle Research Group was born from a history in transportation research; concern about an increasing number of motorcyclist fatalities and injuries; and the excitement of a large number of institute engineers, staff, researchers, and family who are riders. The group focuses on riders and their machines while considering other factors in the surrounding transportation system. Group researchers conducted the first large-scale naturalistic driving study of motorcycles, which was designed to explore motorcycle crash causation and develop crash countermeasures.

National Surface Transportation Safety Center for ExcellenceJon Hankey, DirectorThe National Surface Transportation Safety Center for Excellence was established by the Federal Public Transportation Act of 2005 to develop and disseminate advanced transportation safety techniques and

innovations in both rural and urban communities. Center research focuses on four major objectives: 1) To develop and test transportation devices and techniques that enhance driver performance; 2) To evaluate the roadway environment and infrastructure-based safety systems; 3) To address mobility for vulnerable road users; and 4) To examine driver impairment issues.

Safety through Disruption (Safe-D) National University Transportation Center (UTC)Zac Doerzaph, DirectorFueled by the inevitable changes in our transportation system, the Safety through Disruption (Safe-D) University Transportation Center (UTC)—which comprises the institute, the Texas A&M Transportation Institute, and San Diego State University—endeavors to maximize the potential safety benefits of disruptive technologies through targeted research that addresses the most pressing transportation safety questions. The center focuses on four potential disruptive technologies: connected vehicles, automated vehicles, transportation as a service, and big data analytics. The U.S. Department of Transportation awarded the center in November 2016 as a highly competitive national UTC grant. The national grant entails a planned $2.8 million each year in federal funding for five years, matched by an equal amount of cost-share funds from university, state, and private sources. The nation’s top safety researchers will perform work under the center while leveraging existing and upcoming world-class research facilities across the universities, such as the Virginia Automated and Connected Corridors and the Virginia Smart Roads, all of which will collectively enable robust real-world testing of automated and connected vehicles.

34 35

SPONSORS,CLIENTS, & PARTNERS

• 3M

• 5G Automotive Association

• AAA

• AAA Foundation for Traffic Safety

• AAA Mid-Atlantic

• Acclaro Research Solutions, Inc.

• ACF

• Alliance of Automobile Manufacturers

• Alpha Foundation

• American Association of Motor

Vehicle Administrators

• American Association of State

Highway and Transportation Officials

• American Transportation

Research Institute

• Amoco

• Applied Research Associates

• Arete Associates

• Arity

(a subsidiary of Allstate Insurance)

• Arizona State University

• Arlington County, Va.

• Asia University

• Association for Unmanned

Vehicle Systems International

• Association of Global Automakers

• Assured Information Security

• Atkins Global

• Atlantic Construction Fabric

• Attention Technologies, Inc.

• Auburn University

• Autoliv

• Automotive Events

• B&W Pantex

• Battelle

• B-Con Engineering, Inc.

• Beam Brothers

• Bedford County, Va.

• Bekaert

• Betty Serian and Associates

• Bishop Consulting

• Blackberry

• BMW

• Booz Allen Hamilton

• Bosch

• BP Amoco

• Bridgestone

• Brigham Young University

• California Department of

Transportation

• California Energy Commission

• Calspan

• Cambridge Mobile Telematics

• Cambridge Systematics

• Canadian Council of Motor

Transport Administrators

• Capital Area Transit System in

Baton Rouge

• Carnegie Mellon Robotics

Institute

• Carnegie Mellon University

• CARPI USA

• Case Western Reserve University

• Catapult Transport Systems

• Center for Innovative Technology

• Cernet Corp.

• Chen Ryan Associates

• Chrysler

• Cisco Systems

• City of Flagstaff

• City of Richmond

• Civilogix, Inc.

• Clanton & Associates, Inc.

• Clean Air Tech International

• Clear Roads

• Clemson University

• Cohda Wireless

• Colorado Department of

Transportation

• Commercial Vehicle Safety

Alliance

• Continental Automotive Systems, Inc.

• Con-Way

• Cooper Tire

The continued success of VTTI is due, in large part, to its sponsors, partners, clients, and stakeholders. VTTI would like to acknowledge the contributions and support of the following organizations:

36 37

• Corning Cable Systems

• Crack Sealant Consortium

• Crash Avoidance Metrics

Partnership (CAMP)

• Crash Safety Research Center

• CSAA Insurance Group

• CUBRC

• Delaware Department of Motor

Vehicles

• Delaware Technical and

Community College

• Delft University of Technology

• Delphi Electronics

• Robert Denaro

• DENSO

• DGE, Inc.

• District of Columbia Department

of Transportation

• DLA Piper

• DMD & Associates

• Donovan Hatem

• Draper Laboratory

• Drexel University

• DRP Performance

• Duke University

• Dunlap and Associates, Inc.

• Dynamic Research, Inc.

• Eaton

• eDriving

• Education Logistics, Inc.

• EMMES

• Enercon Services, Inc.

• Engineering & Software

Consultants, Inc.

• Ergonomic Analysis, Inc.

• Erie Insurance

• ERTICO

• Escrypt

• European Commission

• Fairfax County Transit

• Fairfax County, Va.

• Federal Highway Administration

• Federal Motor Carrier Safety

Administration

• Federal Railroad Administration

• FEV

• Fleetmatics

• Florida A&M University

• Fluor, Va.

• Ford Driving Skills for Life

• Ford Motor Company

• Foundation for Outdoor Advertising

Research and Education

• Fugro Roadware

• General Motors

• General Motors OnStar Division

• George Mason University

• Georgia Department of

Transportation

• Glenwood Consulting

SPO

NS

ORS

, CLI

ENTS

, & P

ART

NER

S

• Goodyear

• Google

• Guard Rail of Roanoke, Inc.

• Halifax County, Va.

• Hankook Tire

• Harmonia

• HERE

• Honda

• Honda R&D

• Honda Research Institute – Europe

• Hoosier Racing

• Howard/Stein-Hudson

Associates, Inc.

• Hubbell Lighting, Inc.

• Human Factors North

• Hume Center

• Hyundai Fire and Insurance

• Hyundai Kia

• Hyundai Motor Company

• IAOV Chemnitz

• IDEA Programs

• Illinois Department of Transportation

• Illuminating Engineering Society

of North America

• Institute for Critical Technology

and Applied Science

• Institute for Transportation

Research and Education at North

Carolina State University

• Institute for Work Organizational

and Transport Research

• Insurance Institute for Highway Safety

• Intelligent Automation, Inc.

• Intelligent Transportation Society

of America

• Interactive Design and Development

• Iowa State University

• Iteris, Inc.

• Jacobs, Edwards, and Kelcey, Inc.

• Jaguar/Landrover

• John Horsley and Associates

• Johns Hopkins University

• Johnson Controls, Inc.

• Kapsch TrafficCom

• Kimley-Horn and Associates

• Korea Advanced Institute of

Science and Technology

• Kumho Tire

• Last Resource

• Leidos

• Lisboa, Inc.

• Litton Network Access Systems

• Long Road Racing

• Lord Corporation

• Loughborough University

• Louisiana Public Transit Association

• Maccaferri

• MaineWay Services

• MAN Truck & Bus AG

• Massachusetts Institute of Technology

• MCI Federal

• Mercedes-Benz

• Meritor WABCO

• Merritt C. Becker, Jr. University of

New Orleans Transportation Institute

• Mesilla Valley Transportation

• Michelin

• Mid-Atlantic Aviation Partnership

• Mid-Atlantic Broadband

• Minnesota Department of

Transportation

• James A. Misener (Consultant)

• Mississippi Department of

Transportation

• The MITRE Corporation

• Mobis

• ModComp

• Montana State University-

Western Transportation Institute

• Monterey Technologies, Inc.

• Montgomery County, Va.

• Morgan State University

• Motor Coach Industries

• Motorcycle Safety Foundation

• MRI Global

• Munich Reinsurance America, Inc.

• Nanosonic, Inc. LLC

• National Academy of Sciences

Transit-IDEA Program

• National Academy of Sciences

38 39

Transportation Research Board

• National Chiao Tung University

• National Cooperative Highway

Research Program

• National Highway Traffic Safety

Administration

• National Institute for Occupational

Safety and Health

• National Institute of Advanced

Industrial Science and Technology

in Japan

• National Institute of Aerospace

• National Institutes of Health

• National Parks

• National Private Truck Council

• National Renewable Energy

Laboratory

• National Science Foundation

• National Surface Transportation

Safety Center for Excellence

• National Transit Institute

• National Transportation Research

Center, Inc.

• NAUTO, Inc.

• Navistar International

• NEC Laboratories

• Neusoft

• New Orleans Amalgamated

Transit Union

• New River Valley Planning District

Commission

• New York City Transit Authority

• NEXCO-West Japan

• Nexen Tire

• Nissan

• Nissan Research Center

• Noblis

• Norfolk Southern Railroad

• North American Fatigue

Management Program

• North Carolina A&T State

University

• North Carolina Agricultural and

Technical State University

• North Carolina Department of

Transportation

• North Carolina State University

• Oak Ridge National Laboratories

• Office of the Assistant Secretary

for Research and Technology

• Office of the Secretary of

Transportation

• Ohio State University

• Oilcom

• Omni Weight Corporation

• Optimal CAE

• OptimumG

• OrbComm

• OSRAM SYLVANIA

• Outdoor Advertising Association

SPO

NS

ORS

, CLI

ENTS

, & P

ART

NER

S

of America

• PACCAR, Inc.

• Pacific Northwest National

Laboratory

• Pacific-Sierra Research

• Parsons Brinckerhoff

• PB Farradyne, Inc.

• PB World

• Peloton Technology

• Penn State University

• Pennsylvania Department of

Transportation

• Performance Fuels System

• Philips Lighting

• Pierce Transit

• Pitt Ohio

• Plymouth Rock Assurance

• Princeton Lightwave

• Professional Truck Driving Institute

• PSMJ Resources, Inc.

• Purdue University

• Qatar National Research Fund

• Qualcomm

• Queens University

• Realtime Technologies, Inc.

• REI Safety Services, Inc.

• Rensselaer Polytechnic Institute

• Research and Special Programs

Administration

• RGS Associates, Inc.

• Ricardo, Inc.

• RoadSafe

• ROHO, Inc.

• Rowan University

• Rutgers, The State University of

New Jersey

• SAE International

• Savari

• Schneider

• Science Applications

International Corporation

• Science Museum of Western

Virginia

• Scientex

• Scitor Corporation

• SEA Limited

• Security Innovation Company

• Shandong University

• Shenandoah Telephone

• Shentel Service Company

• Siecor/Corning

• Siemens

• SmartCap Technologies

• Snow Economics

• Software Technology, Inc.

• South Carolina Department of

Transportation

• South Dakota State University

• Southwest Research Institute

• Spire Innovations

• Stantec International, Inc.

(Dubai branch)

• State Farm Mutual Automobile

Insurance Company

• SwissRe

• Systems Technology, Inc.

• Takata

• TASS

• Tesla

• Texas A&M Transportation Institute

• Texas Department of Transportation

• Thomas Jefferson University

• TNO Defense, Security and Safety

• Tom Tom

• TORC Robotics

• Town of Blacksburg

• Toyota

• Toyota – InfoTechnology Center

• TransAnalytics

• Transecurity

• Transport Canada

• Transurban

• Travelers Insurance

• TrueMotion

• TruWeather Solutions

• TUV Rheinland Mobility, Inc.

• United Defense, L.P.

• Universidad del Pais Vasco

• University of Alabama at

Birmingham

40 41

• University of Calgary

• University of Central Florida

• University of Florida

• University of Idaho

• University of Illinois

• University of Iowa

• University of Maryland

• University of Massachusetts/Amherst

• University of Massachusetts – Lowell

• University of Massachusetts

Medical Center

• University of Melbourne

• University of Michigan

Transportation Research Institute

• University of Minnesota

• University of Missouri

• University of Missouri – Columbia

• University of Nevada, Reno

• University of New South Wales

• University of North Carolina

• University of North Carolina

Highway Safety Research Center

• University of North Florida

• University of Pennsylvania

• University of South Carolina

• University of South Dakota

• University of South Florida

• University of Tennessee

• University of Texas at Austin

• University of Toronto

• University of Utah

• University of Virginia

• University of Washington

• University of Wyoming

• UPS

• U.S. Air Force

• U.S. Army Research Laboratory

• U.S. Department of Agriculture

ChooseMyPlate.gov Program

• U.S. Department of Defense

• U.S. Department of Energy

• U.S. Department of Justice

• U.S. Department of Transportation

• Valeo Comfort and Driving

Assistance Systems North America

• Vehicle Safety Communications 3

• Veridian

• Virginia Center for Autonomous

Systems

• Virginia Department of

Conservation and Recreation


Environmental Quality

• Virginia Department of Motor Vehicles

• Virginia Department of Rail and

Public Transportation

• Virginia Department of Transportation


Transportation Operations and

Security Division

• Virginia Rail Policy Institute

• Virginia Tech Foundation

• Virginia Tech Parking Auxiliary

• Virginia Tourism Commission

• Virginia Transportation Research

Council

• Visteon Corporation

• Volkswagen-Audi

• Volpe National Transportation

Systems Center

• Volvo

• Volvo Technology of America, Inc.

• Volvo Trucks North America

• Washington State Department of

Transportation

• Waymo

• Wayne State University

• Weigh-In-Motion

• West Virginia State

• WESTAT

• Western Research Institute

• Windwalker Corporation

• Wisconsin Department of

Transportation

• Wyle Laboratories

• ZF TRW

OUTREACH & COMMUNITY

ENGAGEMENT

42 43

• All Traffic Solutions

• American Society of Civil Engineering

• APLU

• CISCO

• Federal Aviation Administration

Unmanned Aerial Systems Test

Site National Meeting

• Federal Transit Administration

• Governor Mark Warner’s Office

• Greater Washington Partnership

• Heavy Vehicle Simulator

International Alliance Group

• International students and visitors

(China, Shandong University)

• Lead Virginia

• Mid-Atlantic Aviation Partnership

• Montgomery Board of Supervisors

• NASA

• National and local media

• National Highway Traffic Safety

Administration

• National Institute for Occupational

Safety and Health

• New River Economic Alliance

• New River Valley Leadership Program

• New River Valley Regional

Commission

• Numerous proprietary partners

and sponsors

• Pavement Surface Properties

Consortium

• Roanoke Valley Transportation

Planning Organization/New River

Valley Metropolitan Planning

Organization

• University Transportation Center

consortia

• Virginia Department of Transportation

• Virginia Economic Development

• Virginia Higher Education

• Virginia Highlands Community

College Governor’s School

• Virginia Military Institute

• Virginia Representative Chris Hurst

• Virginia Tech Architecture

• Virginia Tech Building Construction

• Virginia Tech Civil Engineering

• Virginia Tech Computer Science

• Virginia Tech Corporate Research

Center

• Virginia Tech Development

• Virginia Tech French class

• Virginia Tech German Fulbright

students

• Virginia Tech – Japanese University

• Virginia Tech Language and

Culture Institute

• Virginia Tech Library

• Virginia Tech University Relations

• Virginia Tech Women’s Club

• Visiting scholars

During FY18, numerous representatives of current and potential sponsoring/partnering organizations, marketing groups, and conference groups visited VTTI and/or the Vir-ginia Smart Roads, including:

OU

TREA

CH

& C

OM

MU

NIT

Y E

NG

AG

EMEN

T

• 4th International Conference

on Vehicle Technology and

Intelligent Transport Systems

(Portugal)

• 55th Annual Road & Street

Maintenance Supervisors’

Conference

• 61st Annual Scientific Conference

of the Association for the

Advancement of Automotive

Medicine

• 2018 Women’s History Month

Celebrating Women in

Transportation – Land, Air, and

Sea

• AAA Forum on the Impact of

Vehicle Technologies and

Automation on Users

• American Meteorological

Association AV Conference

• American Psychological

Science Conference

• Annual Conference of the

Association for Unmanned

Vehicle Systems International

(AUVSI) Ridge and Valley Chapter

• Annual Meeting of the National

Organization for Youth Safety

• ATA Management Conference

and Exhibition

• ATA Technology & Maintenance

Council

• Automated and Connected

Vehicle Testing Symposium

• Automated Driving System

Conference

• Automated Vehicles Symposium

• Automation for Commercial

Vehicles (Germany)

• Autonomous Vehicle Test &

Development

• Better Buildings by Design

• Biomedical Engineering

Society Annual Meeting

• Canadian Council of Motor

Transport Administrators

Annual Meeting

• Conference on Traffic and

Granular Flow

• Consumer Electronic Show

(CES)

• CVSA Brake Symposium

• Decision Sciences Institute

Annual Meeting

In partnership with employees from VDOT, the institute hosted an open house for the general public and a school day event (grades K-12) in April 2018, with nearly 400 in attendance.

VTTI and its facilities were well represented at several international and national industry conferences, symposia, and meetings, including:

44 45

• Direct Delivery Leadership

Council (DDLC) Meeting

• ESRI User Conference

• Fleet Safety Conference

• FMVSS Considerations for

Automated DrivingSystems

• From ADAS to Automated

Driving Symposium

• Future Active Safety Technology

Towards zero traffic accidents

(FAST-zero) Conference (Japan)

• Human Factors and Ergonomics

Society Annual Meeting


(IES) Light + Human Health

Symposium


(IES) Street and Area Lighting

Conference

• INFORMS Conference

• International Commission on

Illumination (CIE) Smart

Lighting Conference (Taiwan)

• International Commission on

Illumination (CIE) Workshop

on a New Vision of Visibility for

Roadway Lighting (Germany)

• International Conference on

Models and Technologies for

Intelligent Transportation Systems

• International Conference on

Transport and Health

• International Joint Conference

on Biometrics

• International Research Council

on the Biomechanics of Injury

(IRCOBI) Conference (Belgium)

• International Rider Education

and Training Systems

• IRF World Road Meeting (India)

• ISO TC22/SC39 WG8

Meeting (Prague)

• ITEA Annual Conference and

School on Transportation

Economics (Hong Kong)

• ITS World Congress

• ITSA Annual Meeting

• Joint Statistical Meeting

• LifeSavers Conference

• National Association of Women

Highway Safety Leaders Meeting

• National Operations Center of

Excellence Workshop

• National Tank Truck Carriers

Safety and Security Council

Annual Meeting

• North Carolina A&T State

University Center for Advanced

Transportation Mobility (CATM)

Symposium

• NSF Autonomous Truck Workshop

• PEGASUS Symposium (Germany)

• Road Safety on Five Continents

(South Korea)

• SAE Government/Industry

Meeting

• SAE Variable Performance

Testing for Automated Driving

Systems (ADS) Workshop

• SAE World Congress

• SIP-adus Workshop (Japan)

• SPIE Optics and Photonics

Conference

• Tech.AD Detroit

• TedX Salon Talk

• Teen Safe Driving Event

• Transportation Research Board

Annual Meeting

• Trucking Association of New

York, 50th Annual Conference

and Membership Meeting

• Urbanism Next Conference

• USA Science and Engineering

Festival


Transportation Career Fair

• Women in Transportation Seminar

MEDIACOVERAGE

46 47

American Journal of Transportation

ARL Now*

Ars Technica

Augusta Free Press

Auto Connected Car News

Auto Week

AutoExpert (Polish)

Automoblog.net

Automotive News

Bacon’s Rebellion

Bluefield Daily Telegraph

Branson Tri-Lakes News

Business Insider

Business Insurance

Car and Driver

Carlisle Sentinel

CBS FOX 59

City Lab

Claims Journal*

Clemson

Clemson Newsstand

Collegiate Times*

Commercial Carrier Journal

Dcist

Delaware Business Times

Deseret News

Fleet Owner

Florida Politics

FOX5

Fredericksburg

Fredericksburg.com

Freight Waves*

Herald-Mail Media

Huffington Post

Independent Mail

India Times

International Business Times

KNBC (L.A.)

KOMO News

KSL.com

Landline Magazine

LEDs Magazine

Legal Examiner

Livetrucking.com

Local Memphis (via CNN)

Markets Insider

MobilityLab

Motorcycle and Power Sports News

Motoring

Nasdaq

NBC Boston

NBC Nightly News with Lester Holt

NBC Turn to 10

NBC4 Washington*

New Atlas

New Straits Times

Newswire*

NPR’s All Things Considered

Ocala Star Banner

One News Page

Overdrive

PBS Blue Ridge

PC Magazine

Phys.Org

MEDIA COVERAGE FY 2018*Denotes media outlets that covered VTTI more than once during 2018

Politico

PR Underground

Public Opinion

Radio Australia

Richmond Times-Dispatch

Sarasota Herald-Tribune

Savannah Morning News

Science Daily

Scroll.in

Smithsonian Magazine

Southwest Times

Technical.ly Delaware

Teen Vogue

The Augusta Chronicle

The Auto Channel

The Chronicle of Higher Education

The Conversation

The Daily Telescope

The Detroit News*

The Franklin News-Post

The Gazette-Virginian

The Guardian

The Indian Express

The Irish Times

The Kittaning Paper

The New York Times*

The Roanoke Star*

The Roanoke Times*

The Southwest Times*

The Telegraph

The Virginian Pilot

The Week Magazine

TIME

Times-Mail

Traffic Technology International

Transport Topics

Transportation Communication Network

University of Kentucky

Up & Coming Weekly

USC Viterbi School of Engineering

Virginia Business

Virginia Tech News*

Washington Post*

WCVE (Richmond, VA)

WDBJ (Roanoke, VA)*

WDIV (Detroit, MI)

WEHC (Emory, VA)

WHEC (Rochester, NY)

WINA (Charlottesville, VA)

WIRED Magazine*

WJLA (Washington, D.C.)

WMAL (Washington, D.C.)

WRIC (Richmond, VA)*

WSET (Lynchburg, VA)

WSLS (Roanoke, VA)*

WSVN (Miami, FL)

WTOP (Washington, D.C.)*

WVEC (Norfolk, VA)

WVNS (Lewisburg, WV)*

WVTF (Roanoke, VA)*

WVVA (Bluefield, WV)

Yahoo! Finance

48 49

PRESENTATIONSAhn, K., Rakha, H. A., & Park, S. (2018). Impact of Intersection Control on Electric Vehicle Energy Consumption (No. 18-02937). Transportation Research Board 97th Annual Meeting, Washington, DC.

Alden, A. (2018, June). Highway Freight – Evolving Demands, Effects, Challenges, and Solutions. Presented at the Eastern Pennsylvania Freight Summit, Bethlehem, PA.

Alden, A. (2018, May). An Introduction to the Mechanics of Salt and Research in the Transportation Sector. Presented at the VA DEQ Salt Management Strategy (SaMS) Technical Training, Lorton, VA.

Alden, A. (2018, April). Automated Freight – Challenges and Opportunities. Presented at the Pennsylvania Automated Vehicle Summit, Pittsburgh, PA.

Alden, A. (2018, April). VTTI – Overview of Facilities and Selected Research. Presented at the Virginia Department of Transportation Staunton District Business Conference, Weyers Cave, VA.

Alden, A. (2018, April). Autonomous Vehicles: Are We Ready? Presented at the West Virginia Local Technical Assistance Program/West Virginia Association of Metropolitan Planning Organizations Joint Conference, Morgantown, WV.

Alden, A. (2018, April). Autonomous Vehicles and Weather Data. Presented at the American Meteorological Association AV Conference, Washington, DC.

Alden, A. (2018, April). Highway Transportation – Changing Demands, Impacts, and Solutions. Presented at the Carlisle Area Chamber of Commerce, Carlisle, PA.

Alden, A. (2018, April). Future Transportation – How Automation and Intelligent Systems Will Impact the Movement of People and Goods. Presented at the Tri-State Hub and APICS Joint Event, Greencastle, PA.

Alden, A. (2018, April). VTTI Overview, Transportation Trends, and I-81 Corridor Coalition. Presented at the Community Transportation Association of Virginia (CTAV) Young Professional in Transportation Training & Networking Symposium, Blacksburg, VA.

Alden, A. (2018, February). Unmanned Aerial Systems in Support of Road Transportation. Presented at the Association for Unmanned Vehicle Systems International Ridge and Valley Chapter Meeting, Blacksburg, VA.

Alden, A. (2018, January). I-81 Corridor Coalition. Presented at the Berkeley County Council, Martinsburg, WV.

Alden, A. (2017, December). Unmanned Aerial Systems in Support of Road Transportation. Presented at the Disruptive Innovations in Transportation Conference, Richmond, VA.

Alden, A. (2017, November). The I-81 Corridor Coalition Program. Presented at the Bristol MTPO Executive Board Meeting, Bristol, TN.

PRESENTATIONS,HONORS, AWARDS,& SERVICES Alden, A. (2017, November). The I-81 Corridor Coalition Program. Presented at the Kingsport MPO Executive Board

Meeting, Kingsport, TN.

Alden, A. (2017, October). Autonomous Surface Transportation Infrastructure Inspection. Presented at the Association for Unmanned Vehicle Systems International - Cultivating Trust in Autonomous Systems Symposium, Blacksburg, VA.

Alden, A. (2017, September). I-81 Corridor Coalition. Presented at the Appalachian Regional Commission - Network Appalachia, Washington, DC.

Alden, A. (2017, August). VTTI Facilities and Research. Presented at Geohazards Impacting Transportation in Appalachia Conference, Blacksburg, VA.

Alden, A. (2017, August). Key Considerations for the Future of Transportation. Presented at Joint Meeting of the Roanoke Valley TPO and New River Valley MPO, Blacksburg, VA.

Alden, A. (2017, July). Advanced Transportation Technologies. Presented at American Planning Association (APA) Virginia Annual Conference, Roanoke, VA.

Amarh, E. A., Flintsch, G. W., Fernández-Gómez, W., Diefenderfer, B. K., & Bowers, B. F. (2018). Eight-Year Field Performance of Portland Cement and Asphalt Stabilized Full-Depth Reclamation Projects (No. 18-01083). Transportation Research Board, Washington, DC.

Ankem, G., Gorman, T., Klauer, C., Ehsani, J. P., Simons-Morton, B., Gershon, P., & Dingus, T. (2018). An Objective Evaluation of Novice Teen Driver Speeding Behavior (No. 18-03150).

Ankem, G. (2018, June). Driving risks of teens with ADHD. Presented at the International Conference on Transport and Health, Mackinac Island, MI.

Ankem, G. (2018, June). Teen Driving Safety and Parental Involvement. Invited talk, Annual Meeting of the National Organization for Youth Safety, Annandale, VA.

Ankem, G. (2018, January). Analysis of speeding behaviors among teen drivers using NDS. Presented at the session Research on Critical Knowledge Gaps: Teenage Driving Risk, Transportation Research Board Annual Meeting, Washington, DC.

Antin, J. F., Fang, Y., Guo, F., Dingus, T. A., Perez, M. A., & Hankey, J. M. (2018, January). The Impact of Functional and Medical Health on Senior Driver Safety & Mobility: What We Have Learned from the SHRP 2 Naturalistic Driving Study. Presented at the Committee for Safe Mobility of Older Persons (ANB60) Workshop: Is There a Relationship Between Safe Driving and Older Drivers’ Medical Conditions and Health Status? Transportation Research Board Annual Meeting, Washington, DC.

Atwood, J. (2018, April). SHRP 2 Risk Survey in Crash Prediction. Presented at the National Surface Transportation Safety Center for Excellence, Blacksburg, VA.

Atwood, J. (2017, November). Investigating Natural Reliance on, and Behavioral Adaptation to, Use of Mixed

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Function Automated Vehicles over Time. Presented at the National Surface Transportation Safety Center for Excellence, Blacksburg, VA.

Atwood, J. (2017, August). The Driver-Level Crash Risk Associated with Daily Cellphone Use and Cellphone Use While Driving. Presented at the Joint Statistical Meeting, Baltimore, MD.

Barowski, L., Womack, K., & Owens, J. M. (2018). Factors surrounding child seat usage in ride-share vehicles. Presented at session Vacation Travel Risks & What Parents Need to Know, LifeSavers Conference, San Antonio, TX.

Barranco, J. R. M., Salado, F., & Flintsch, G. (2018). Impact of Surface Cleaning on Pavement Skid Resistance Inside Tunnels (No. 18-05047). Transportation Research Board, Washington, DC.

Barrantes-Quiros, S., Flintsch, G. W., de León Izeppi, E., & McGhee, K. K. (2018). Interconversion of Locked-Wheel and CFME Friction Measurements (No. 18-04991). Transportation Research Board, Washington, DC.

Bhagavathula, R., & Gibbons, R. (2018, May). Distribution Analysis of Detection Distances: A New Approach to Analyze Nighttime Roadway Visibility. Presented at the CIE Workshop on a New Vision of Visibility for Roadway Lighting, Berlin, Germany.

Blanco, M. (2018, March). Opening Remarks. Presented at the 2018 Women’s History Month: Celebrating Women in Transportation – Land, Air, and Sea, Washington, DC.

Blanco, M. (2018, March). Making Mid-Career Moves. Moderator, 2018 Women’s History Month Celebrating Women in Transportation – Land, Air, and Sea, Washington, DC.

Blanco, M. (2017, October). Mixed-Function Automation Naturalistic Driving Study. Presented at the From ADAS to Automated Driving Symposium, Columbus, OH. Blanco, M., Russell, S., Fitchett, V., Atwood, J., & Trimble, T. (2017). Mixed-function automation in naturalistic settings. In Proceedings of the Enhanced Safety of Vehicles 25th Annual Meeting. Detroit, MI: National Highway Traffic Safety Administration.

Blanco, M. (2017, August). Automated Vehicle Policy. Presented at the Southern Association of State Highway and Transportation Officials Annual Meeting, Norfolk, VA.

Blanco, M., Russell, S., Fitchett, V., Trimble, T., & Rau, P. (2017, July). Mixed-function Automation Naturalistic Driving Study (Poster). Presented at the Automated Vehicles Symposium, San Francisco, CA.

Bowden, Z. (2017, November). Fatigue Aware Service Scheduling: Accounting for Sleep and Fatigue to Maximize Performance. Presented at the Decision Sciences Institute Annual Meeting.

Camden, M. C., Medina-Flintsch, A., Hickman, J. S., Hanowski, R. J., & Tefft, B. (2018, January). Cost-benefit analysis of four large truck advanced safety technologies. Poster presented at the Transportation Research Board 97th Annual Meeting, Washington, DC.

Chaka, M. (2018, June). VTTI’s Automated Mobility Partnership. Presented at the SAE Variable Performance Testing For Automated Driving Systems (ADS) Workshop, Greenville, SC.

Chaka, M. (2018, April). Key Topics to Consider during the Crash Avoidance, Crashworthiness, and Occupant Protection Discussion. Expert panel discussion and presentation, 100 Series Working Group, Stakeholder Meeting, FMVSS Considerations for Automated Driving Systems, Washington, DC. Chaka, M. (2018, April). VTTI’s Automated Mobility Partnership. Presented at the Variable Performance Testing for ADS Workshop, Troy, MI.

Chaka, M. (2018, March). New Mobility Revolution. Presented at the Northern Virginia Transportation Roundtable, Arlington, VA.

PRESENTATIONS, HONORS, AWARDS, & SERVICES Chaka, M. (2018, March). Making Mid-Career Moves. Panel session, Celebrating Women in Transportation – Land, Air, and Sea, Washington, DC.

Chaka, M. (2017, November). Naturalistic Driving Data and its Potential for Automated Driving Systems. Presented at Tech.AD Detroit, Novi, MI.

Chaka, M. (2017, October). Research Solutions For The Safe Deployment Of Automated Vehicles. Presented at Autonomous Vehicle Test & Development, Novi, MI.

Dingus, T. A. (2017). Naturalistic driving studies in the U.S. and their potential for automated driving. Invited talk, PEGASUS Symposium, Aachen, Germany.

Dingus, T. A. (2017, October). The automated-vehicle (r)evolution. Invited talk, TEDx Salon Talk, Wilmington, DE. https://youtu.be/uW-Xy8HOSUQ

Doerzaph, Z. (2018). Innovation and America’s Infrastructure: Examining the Effects of Emerging Autonomous Technologies on America’s Roads and Bridges. Testimony presented to the U.S. Senate Committee on Environment and Public Works, Washington, DC. Retrieved from https://www.epw.senate.gov/public/index.cfm/2018/6/innovation-and-america-s-infrastructure-examining-the-effects-of-emerging-autonomous-technologies-on-america-s-roads-and-bridges

Doerzaph, Z. (2018). Connected and Automated Vehicle Research. Paper presented at the Intelligent Transportation Systems of Virginia, Richmond, VA.

Doerzaph, Z. (2017). The Advanced Vehicle Evolution. Paper presented at the Northern Virginia Second Annual Transportation Roundtable, Fairfax, VA.

Druta, C., Alden, A. S., & Donaldson, B. M. (2018). Evaluation of a Buried Sensing Cable for Roadside Animal Detection (No. 18-00437). Transportation Research Board 97th Annual Meeting, Washington, DC.

Druta, C., Alden, A., & Guevara, G. (2018). Use of Onboard Vehicle Sensors to Assess Road Weather Conditions for Integration with Connected and Automated Vehicles (No. 18-05103). Transportation Research Board 97th Annual Meeting, Washington, DC.

Du, J., Rakha, H. A., Elbery, A., & Klenk, M. (2018). Microscopic Simulation and Calibration of a Large-Scale Metropolitan Network: Issues and Proposed Solutions (No. 18-02086). Transportation Research Board 97th Annual Meeting, Washington, DC.

Eick, E., Faunce, C., Roediger, M., Hickman, J. S., & Geller, E. S. (2018). Safety-related pedestrian behaviors among University students: Naturalistic observations from a moving vehicle. Paper presented at Virginia Association of Behavior Analysis, Roanoke, VA.

Elbakary, M. I., Abdelghaffar, H., Afrifa, K., Rakha, H. A., Cetin, M., & Iftekharuddin, K. M. (2017, August). Aerosol Detection using Lidar-based Atmospheric Profiling. Presented at the SPIE Optics and Photonics Conference, San Diego, CA.

Elbery, A., Dvorak, F., Du, J., Rakha, H. A., & Klenk, M. (2018, March). Large-scale Agent-based Multi-modal Modeling of Transportation Networks - System Model and Preliminary Results. In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems.

Elbery, A., Rakha, H., & Elnainay, M. (2017, July). Large-scale Modeling of Connected Vehicle Systems. Presented at the Conference on Traffic and Granular Flow, Washington, DC.

Engström, J. (2018, June). Panel introduction: To Err is Human: Is your automated vehicle safer than you? Presented at the Automated and Connected Vehicle Testing Symposium, Greenville, SC.

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Engström, J. (2018, June). Analyzing the impact of automated trucking on human workers. Presented at the NSF Autonomous Truck Workshop, Alexandria, VA.

Engström, J. (2017, November). Conceptualizing drivers’ understanding of automated driving functions. Presented at the SIP-adus Workshop Human Factors Breakout Session, Tokyo, Japan.

Engström, J. (2017, November). Evaluating safety effects of automated driving. Presented at the AAA Forum on the Impact of Vehicle Technologies and Automation on Users, Salt Lake City, UT.

Engström, J. (2017, September). Key issues in the deployment of automated trucks. Presented at Automation for Commercial Vehicles, Stuttgart, Germany.

Gaylord, C. K., & Bowden, Z. (2017, September). Sharing Sensitive Research Data with Internal and External Customers. Presented at VASCAN.

Gershon, P., Ehsani, J. P., Zhu, C., Klauer, S., Dingus, T., & Simons-Morton, B. (2018). Trends in Crashes and Safety Critical Events Among Novice Teenage Drivers During Learner and Independent Driving Periods (No. 18-02730).

Gibbons, R. (2018, May). Impact of Lighting on Safety. Presented at the CIE Workshop on a New Vision of Visibility for Roadway Lighting, Berlin, Germany.

Gibbons, R. (2018, April). Current and Future Practices of Roadway Lighting. Workshop, CIE Smart Lighting Conference, Taipei, Taiwan.

Gibbons, R. (2018, April). The Precious Balance of Roadway Lighting. Presented at the IES Light + Human Health Symposium, Atlanta, GA.

Gibbons, R. (2018, February). Lighting in the Connected Transportation Environment. Presented at Better Buildings by Design, Burlington, VT.

Gibbons, R. (2018, January). Lighting and Safety. Presented at AARP, Blacksburg, VA.

Gibbons, R. (2017, September). Lighting Needs for the Future of Transportation. Presented at the IES Street and Area Lighting Conference, Austin, TX.

Gibbons, R. (2017, July). LED Lighting and the AMA. Presented at the AASHTO Summer Meeting.

Grove, K. (2018, May). Real-world Performance of Driver Assistance Technology. Presented at the CVSA Brake Symposium, Schaumburg, IL.

Grove, K. (2018, March). Technological Advances in Next Generation Collision Warning Driver Interfaces. Presented at the ATA Technology & Maintenance Council, Atlanta, GA.

Grove, K. (2017, September). Field Study of Heavy Vehicle Crash Avoidance Systems Performance. Presented at the ATA Technology & Maintenance Council Fall Meeting & National Skills Competition, Orlando, FL.

Grove, K. (2017, July). Field Study of Heavy Vehicle Crash Avoidance Systems Performance. Presented at the Fleet Safety Conference, Schaumburg, IL.

Hankey, J. (2017, October). Why People Crash and the Future of Mobility. Keynote speaker, 55th Annual Road & Street Maintenance Supervisors’ Conference, Yakima, WA.

Hanowski, R. J., Krum, A. J., Camden, M. C., Medina-Flintsch, A., & Hickman, J. S. (2018). Evaluating promising safety technologies in commercial vehicle operations: Assessing efficacy, benefits, and costs. Paper presented at the ITEA Annual Conference and School on Transportation Economics, Hong Kong.

Hanowski, R. (2018, June). Healthy Benefits: New Research on Driver Health and Crash Risk. Presented at the

PRESENTATIONS, HONORS, AWARDS, & SERVICESNational Tank Truck Carriers Safety and Security Council Annual Meeting, Reno, NV.

Hanowski, R. (2018, May). FAST DASH: Program Overview and Key Findings from Initial Technology Evaluations. Presented at Road Safety on Five Continents, Jeju Island, South Korea.

Hanowski, R. (2018, February). The Intersection Between Driver Health and Corporate Well Being. Presented at the Lytx User Group Conference, San Diego, CA.

Hanowski, R. (2018, January). Flexible Sleeper Berth Pilot Program. Presented at the Direct Delivery Leadership Council (DDLC) Meeting, Phoenix, AZ.

Hanowski, R. (2017, November). Evaluating Truck Drivers’ Speed and Seat-Belt Use Before and After the Implementation of a Non-Video Onboard Monitoring System. Presented at the IRF World Road Meeting, Delhi, India.

Hanowski, R. (2017, October). Optimizing Driving Data: What to Collect and How It Can Be Used. Invited presentation, ATA Management Conference and Exhibition, Orlando, FL.

Hanowski, R. (2017, September). Commercial Driver Health: Trends and Associated Crash Risks. Invited presentation, Trucking Association of New York, 50th Annual Conference and Membership Meeting.

Harwood, L., & Doerzaph, Z. (2017). Predicting Connected Vehicle Alert Classification Based on Topography. Presented at the ESRI User Conference, San Diego, CA. Hickman, J. S., Hanowski, R. J., & Camden, M. C. (2018). Using a naturalistic driving approach to study driver behavior. Paper presented at the American Psychological Science Conference, San Francisco, CA. Jahangiri, A., Elhenawy, M., Rakha, H., & Dingus, T. (2017, July). Studying Cyclist Violations at Stop Sign-Controlled Intersections using Naturalistic Cycling Data. Presented at the Conference on Traffic and Granular Flow, Washington, DC.

Kang, K., & Rakha, H. (2017, July). Development of a Decision Making Model for Merging Maneuvers: A Game Theoretical Approach. Presented at the Conference on Traffic and Granular Flow, Washington, DC.

Klauer, S. (2018, June). Risks of Secondary Task Engagement While Driving. Invited talk, Canadian Council of Motor Transport Administrators Annual Meeting, Montreal, QC, Canada.

Klauer, S. (2018, May). Risks Facing Teen Drivers. Invited plenary session, Virginia Highway Safety Summit, Virginia Beach, VA.

Klauer, S. (2018, April). The Power of Parental Involvement on Teen Drivers. Invited talk, LifeSavers Conference, San Antonio, TX.

Klauer, S. (2018, April). Teen Drivers and Monitoring/Feedback Technology in the Vehicle. Invited talk, LifeSavers Conference, San Antonio, TX.

Klauer, S. (2018, April). Risks of Teen Drivers’ Secondary Task Engagement. Invited talk, LifeSavers Conference, San Antonio, TX.

Klauer, S. (2018, March). Plenary Session. Invited speaker, Women in Transportation Seminar Celebrating Women in Transportation – Land, Air, and Sea, Washington, DC.

Klauer, S. (2018, January). Beyond SHRP 2: The Large-scale European Naturalistic Driving Study UDRIVE. Panel moderator, Transportation Research Board 97th Annual Meeting, Washington, DC.

Klauer, S. (2017, September). Teen Driver Risks. Invited talk, National Association of Women Highway Safety Leaders Meeting, Louisville, KY.

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Klauer, S. (2017, September). Teen Driver Feedback. Invited talk, Virginia Distracted Driving Summit, Norfolk, VA.

Klauer, S. (2017, August). Invited talk, Appalachian Electrical Power Regional Safety Meeting, Richmond, VA.

Liu, S., Lau, N., & Perez, M. (2018, January). Sleep and Driving Habits Associated with Sleep Disorders-Findings from SHRP 2 Naturalistic Driving Study (No. 18-00985). Transportation Research Board 97th Annual Meeting, Washington, DC.

McCall, R. M. (2018, April). Getting to where we want to be. Keynote presentation, Virginia Tech Services for Students with Disabilities Access & Inclusion Awards, VT SSD, Blacksburg, VA.

McCall, R. M. (2017, September). Motorcycle Crashes & Some Guidance to Avoid Them. Presented at the Meeting of State Motorcycle Safety Administrators, Burlington, VT. McCall, R. M. (2017, September). MSF 100 Motorcyclists Study: An Update. Presented at International Rider Education and Training Systems, Columbus, OH. McCarthy, R., de León Izeppi, E., Flintsch, G. W., & McGhee, K. K. (2018). Comparison of Locked Wheel and Continuous Friction Measurement Equipment (No. 18-01277). Transportation Research Board, Washington, DC.

McLaughlin, S. (2018, May). Intelligent Transportation Systems and Automated Vehicle Impacts on Motorcycle Safety. Presented at the U.S. House of Representatives Congressional Motorcycle Caucus Briefing, Washington, DC.

Miller, A. M., Owens, J. M., Seong, Y., & Yi, S. (2017, November). Project Overview: Vulnerable Road User Mobility Assistance Platform. Presented at the 5th Annual UTC Conference for the Southeastern Region, Gainesville, FL.

Owens, J. M., Dingus, T. A., Guo, F., Fang, Y., Perez, M., McClafferty, J., & Tefft, B. (2018). Estimating the prevalence and crash risk of drowsy driving using data from a large-scale naturalistic driving study (No. 18-04410). Transportation Research Board 97th Annual Meeting, Washington, DC.

Owens, J. M., Tefft, B., Guo, F., Fang, Y., Perez, M., McClafferty, J,. & Dingus, T. A. (2018). Crash risk of cell phone use while driving: case-crossover study of SHRP 2 Naturalistic Driving Data. Presented at the Transportation Research Board 97th Annual Meeting, Washington, DC.

Owens, J. M. (2018, March). VTTI Center for Vulnerable Road User Safety: Overview & Project Highlights. Presented at the Texas A&M Transportation Institute Center, Traffic Safety Brownbag.

Owens, J. M. (2018, March). State of Research: Automated Vehicle Systems & Pedestrians/Bicyclists. Presented at Workshop “Friends or Foes? Pedestrians, Bicyclists, and Autonomous Vehicles: What do We Need to Know, and How Will We Learn It?,” Urbanism Next Conference.

Owens, J. M. (2018, January). Teaching Pedestrian and Bicycle Travel in an Automated Future. Panel discussion, Pedestrian and Bicycle University Education Subcommittee, Transportation Research Board 97th Annual Meeting, Washington, DC.

Owens, J. M. (2018, January). Understanding the Role of Human Factors in AV/VRU Interactions. Presented at Workshop 144A: When Autonomous Vehicles and People Meet: Planning for Pedestrian-AV interaction, Transportation Research Board 97th Annual Meeting, Washington, DC.

Owens, J. M. (2017, December). The Future is Near: What do Automated Vehicles Mean for Pedestrian Safety? Presented at Every Body Walk! Collaborative Meeting.

Owens, J. M. (2017, August). Automated and Connected Vehicle Technologies, Promises, and Challenges. Presented at PBIC Webinar Series Part 1: The Promise and Challenges of Automated Technologies.

PRESENTATIONS, HONORS, AWARDS, & SERVICESOwens, J. M., Miller, A., Seong, Y., & Yi, S. (2017). Project Overview: Vulnerable Road User Mobility Assistance Platform. Presented at CATM Symposium, Greensboro, NC.

Owens, J. M. (2017, July). Human Factors Challenges and Opportunities for the Interaction of AVs and Pedestrians with Disabilities. Presented at Breakout Session #24: Automated Vehicles for People with Disabilities, Automated Vehicles Symposium, San Francisco, CA.

Owens, J. M. (2017, July). Key Human Factors Challenges and Opportunities within AV/VRU Interactions. Presented at Breakout Session #13: Challenges and Opportunities for the Intersection of Vulnerable Road Users and Automated Vehicles, Automated Vehicles Symposium, San Francisco, CA.

Palmer, M. E., & Gibbons, R. (2018). Fog Measurement Using a Traffic Camera in a Real-World Environment. Presented at the Transportation Research Board 97th Annual Meeting, Washington, DC.

Park, G., Hickman, J. S., Pitoniak, S., & Rosenthal, T. J. (2018). Challenges in hazard Detection for Commercial Motor Vehicle Drivers: A Driving Simulator Study. Poster presented at the Transportation Research Board 97th Annual Meeting, Washington, DC.

Park, S., Lee, D., Lee, C., & Ahn, K. (2018). Evaluating the Fuel Efficiency of Transit Bus Subsidy Programs: Comparison of Two Cities in South Korea (No. 18-02921). Transportation Research Board 97th Annual Meeting, Washington, DC.

Perez, M. A. (2018, May). Naturalistic Driving Data – Acquisition and Application. Seminar, Sigma Xi – General Motors Corporation R&D Chapter, GM Technical Center R&D Auditorium, Warren, MI.

Rakha, H., Elbery, A., Du, J., Bichiou, Y., Wang, J., Dvorak, F., & Klenk, M. (2017, October). Developing a Multi-scale and Multi-modal Agent-based Modeling Framework for Assessing Network-wide Energy/Fuel Consumption Impacts of Travel Incentive Strategies. Presented at the INFORMS Conference, Houston, TX.

Roediger, M., Eick, E., Faunce, C., Hickman, J. S., & Geller, E. S. (2018, accepted). Behavioral Impact of an Autonomous Vehicle: A naturalistic study of pedestrian-vehicle communication and pedestrian behavior. Paper to be presented at Virginia Association of Behavior Analysis, Roanoke, VA. Russell, S. M. (2018, January). Driver Expectations for Control Errors, Engagement, and Crash Avoidance in level 2 Driving Automation Systems. Presented at the SAE Government Industry Meeting, Washington, DC. Russell, S. M. (2018, January). Naturalistic Study of Level 2 Driving Automation Functions. Presented at the SAE Government Industry Meeting, Washington, DC.

Russell, S. M. (2017). Driver Expectations for Control Errors, Engagement, and Crash Avoidance in level 2 Driving Automation Systems. Invited workshop, 9th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, Manchester, VT. Russell, S. M. (2017, September). The System Will Always Work as Designed: Design Implications & SAE Level 2. Invited workshop, AutoSens, Brussels, Belgium. Russell, S. M. (2017, November). Testing Real Drivers in Real Vehicles: Current Research on Partial Vehicle Automation. Invited presentation, Wright State University, Dayton, OH.

Sarkar, A. (2017, October). Cardiac Signals: Remote Measurement and Applications. Presented at the International Joint Conference on Biometrics, Denver, CO.

Schaudt, W. A. (2018, June). Automated Driving System (ADS) Safety. Panel moderator, Automated Driving System Conference, McLean, VA.

Schaudt, W. A. (2018, April). Understanding Road User Behavior around Automated Vehicle Visual External Communication Signals in the Wild. Invited speaker, International Organization for Standardization, ISO TC22/

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SC39 WG8 Taskforce Meeting, Prague, CZ.

Schaudt, W. A. (2018, April). Measuring Human Performance of Automated-vehicle System Takeovers in Test-track and Naturalistic Driving Studies. Invited speaker, International Organization for Standardization, ISO TC22/SC39 WG8 Workshop, Prague, CZ.

Schaudt, W. A. (2018, March). It’s Crazy Enough it Just Might Work. Panel member, VT Entrepreneur Challenge, Blacksburg, VA.

Schaudt, W. A. (2018, January). Transportation under Transformation. Invited speaker, Virginia Tech Apex Center for Entrepreneurs Spring 2018 Kickoff Event, Blacksburg, VA.

Schaudt, W.A. (2017, October). Cultivating Trust in Self-driving Vehicles. Presented at Cultivating Trust in Autonomous Systems, Virginia Tech and Skelton Conference Center, Blacksburg, VA. Schaudt, W.A., Shutko, J., & Russell, S. (2017, July). Judging a Car by its Cover - Human Factors Implications for Automated Vehicle External Communication. Presented at Human Factors Breakout Session 2.1, Automated Vehicles Symposium, San Francisco, CA.

Shrestha, S., Katicha, S. W., & Flintsch, G. W. (2018). Development of TSD Structural Condition Thresholds Based on Pavement Management Condition Data (No. 18-04760). Transportation Research Board, Washington, DC.

Song, M. (2017, September). Countermeasures to Detect and Combat Driver Inattention in Connected and Automated Environment. Presented at the 5thAnnual Distracted Driving Summit, Norfolk, VA.

Svärd, M., Markkula, G., Engström, J., Granum, F., & Bärgman, J. (2017). A quantitative driver model of pre-crash brake onset and control. Presented at the Human Factors and Ergonomics Society 61st Annual Meeting, Los Angeles, CA.

Turturici, M. (2018). Effects of driver impairment on crash risk: Results from 40 million miles of Naturalistic Driving Data in the SHRP 2 Database. Presented at the Transportation Research Board 97th Annual Meeting, Washington, DC. Turturici, M., Smith, R. C., Camden, M., Arnold, L., & Kelley-Baker, T. (2018, June). Countermeasures to Prescription and Over the-Counter Drug-Impaired Driving: Law Enforcement & Judicial and Data Recording & Toxicology. Presented at the International Conference on Transport and Health, Mackinac Island, MI.

Viray, R., Sarkar, A., & Doerzaph, Z. (2018). Virginia Connected Vehicle Test Bed System Performance for V2I deployment. Paper presented at SAE World Congress, Detroit, MI.

Wang, J., & Rakha, H. (2017, July). Longitudinal Train Dynamics Model for a Rail Transit Simulation System. Presented at the Conference on Traffic and Granular Flow, Washington, DC.

STUDENT PRESENTATIONSIncludes presentations made in collaboration with student author(s) Albert, D. L., Beeman, S. M., & Kemper, A. R. (2017, October). Occupant Kinematics of the Hybrid III, THOR-M, and Post-Mortem Human Surrogates under Various Restraint Conditions in Full-Scale Frontal Sled Tests. Presented at the 61st Annual Scientific Conference of the Association for the Advancement of Automotive Medicine, Las Vegas, NV.

Bareiss, M., & Gabler, H. C. (2018). Preliminary Estimates of Near Side Crash Injury Risk in Best Performing Passenger Vehicles (SAE Paper No. 2018-01-0548).

Basantis, A., Miller, M., Doerzaph, Z., & Neurauter, L. (2018). Assessing Alternative Approaches for Assessing Automated Vehicle ‘Intentions.’ Paper presented at the 17th Annual Graduate Student Research Symposium.

Haus, S., & Gabler, H. C. (2018). Characteristics of Vehicle-Bicycle Crashes and Near-Crashes using Naturalistic Driving Data. In Proceedings of the 2018 Transportation Research Board (TRB) Conference, Washington, DC.

PRESENTATIONS, HONORS, AWARDS, & SERVICES

Holmes, D., Sherony, R., & Gabler, H. C. (2018). Estimating Benefits of LDW Systems Applied to Cross-Centerline Crashes (SAE Paper No. 2018-01-0512).

Huang, W., Engström, J., Miller, A., Dreger, F. A., Soccolich, S., de Winter, J. C., & Ghanipoor Machiani, S. (2018, accepted). Analysis of differential crash and near-crash involvement based on naturalistic driving data. Abstract accepted for presentation at the Seventh International Symposium on Naturalistic Driving Research (NDRS 2018), Blacksburg, VA.

Jin, H., Sharma, R., Meng, Y., Silvestri Dobrovolny, C., & Untaroiu, C. D. (2018). Evaluation of the injury risks of truck occupants involved in a crash as a result of errant truck platoons. Presented at the 15th International LS-Dyna Conference, Dearborn, MI.

Meng, Y., & Untaroiu, C. D. (2018). Investigation of Energy-absorbing Guardrail End Terminals along U.S. Roads: Statistics and a Computer Modeling Study. In Proceedings of the AAAM, Memphis, TN.

Meng, Y., & Untaroiu, C. D. (2018). Development and Validation of a Finite Element Model of an Energy-absorbing Guardrail End Terminal. Presented at the 15th International LS-Dyna Conference, Dearborn, MI.

Palframan, K., & Alden, A. (2017, October). Reducing School Bus/Light-Vehicle Conflicts through Connected Vehicle Communications. Presented at the ITSVA/SITE Joint Conference, Richmond, VA.

Riexinger, L., Sherony, R., & Gabler, H. C. (2018). Methodology for Estimating the Benefits of Lane Departure Warnings Using Event Data Recorders (SAE Paper No. 2018-01-0509).

Scanlon, J. M., Sherony, R., & Gabler, H. C. (2017). Preliminary Effectiveness Estimates for Intersection Driver Assistance Systems in LTAP/OD Crashes. In Proceedings of the Future Active Safety Technology Towards zero traffic accidents (FAST-zero) 2017 Conference, Nara, Japan.

Tatem, W. M., & Gabler, H. C. (2017). Preliminary Analysis of Serious-to-Fatal Injury in Rear Impact Crashes in the United States. In Proceedings of the 2017 IRCOBI Conference, Antwerp, Belgium.

Untaroiu, C. D., Pak, W., Meng, Y., Guleyupoglum, B., Schap, J., Koya, B., & Gayzik, S. (2018). Investigation of Pedestrian Kinematics and Injury Outcome caused by a Traffic Accident with respect to Pedestrian Anthropometry, Vehicle Shape and Pre-Impact Conditions. Presented at the 15th International LS-Dyna Conference, Dearborn, MI.

HONORS, AWARDS, AND SERVICE TO THE PROFESSIONAndy Alden • Vice-Chair and Paper/Session Coordinator, TRB ADC 60, Standing Committee on Resource Conservation and Recovery • Chair, TRB ADC60(2), Subcommittee on Transportation Infrastructure, Facilities, and Right-of-Ways • Member and Paper Coordinator, TRB Subcommittee on Unmanned Aerial Systems/Remotely Piloted Aircraft (AV060, AV020, AV010) • Board Member, AUVSI Ridge and Valley Chapter • Member, Virginia Statewide Bicycle and Pedestrian Advisory Committee • VDOT Unmanned Aerial Systems Peer Exchange • Review Panel Member, EERE “OPEN 2017,” U.S. Department of Energy • Member, TRB ADC 30, Standing Committee on Ecology and Transportation • Member, Virginia Safe Wildlife Corridors Collaborative

Matt Camden • Awarded high scoring abstract, Researcher category, 2018 International Conference on Transport and Health • Member, TRB Standing Committee on Winter Maintenance

Tom Dingus • Member, Board of Directors, Intelligent Transportation Society of America • Member, Board of Directors, Association for Unmanned Vehicle Systems International

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Johan Engström • Member, Scientific Advisory Committee of the Towards Zero HMI Distraction project, funded by VicRoads and led by the Australian Road Research Board • Member, SAE Automated and Connected Vehicle Symposium Executive Program Committee • Voting Member, SAE Safety and Human Factors Standards Steering Committee • Elected Chair, SAE Driver Metrics, Performance, Behaviors and States Technical Committee

Ron Gibbons • 2017 Taylor Technical Talent Award, best paper in lighting-based research for “Dirt Depreciation in Solid State Luminaires” (Matthew Palmer, Jason Meyer, and Travis Terry)

Kevin Grove • Elected Chair, SAE Truck and Bus Human Factors Committee

Jon Hankey • Chair, ISO Task Force on Naturalistic Driving

Rich Hanowski • Editorial Manager, SAE • Invited to serve on the Advisory Committee of the Occupational Injury Prevention Research Training program, University of Utah • Invited by the National Safety Council to serve on the ANSI Subcommittee for the development of standards to address automated vehicles in fleets (Z15.3) • Invited to serve on the SAE COMVEC Executive Council

Warren Hardy • SAE Forest R. McFarland Award for Service • Named General Chair, 2018 Stapp Car Crash Conference • Appointed to the SAE Human Biomechanics and Simulations Standards Committee • Named Chair, SAE Automated Driving Systems Crashworthiness Task Group • Organized and moderated a Technical Expert Panel Discussion: What do Autonomous vehicles mean for regulation? at the 2018 SAE WCX

Andrew Kemper • Member, AAAM Scientific Program Committee • Vice Chair, AAAM Scientific Program Committee Student Program Subcommittee • Outstanding New Assistant Professor, College of Engineering, Virginia Tech

Charlie Klauer • Chair, ANB30: Operator, Education, and Regulation Committee of the Transportation Research Board • Member, Virginia State Office of Highway Safety Teen Track and Speeding Track • Co-organizer, Transportation Research Board Subcommittee Mid-year Meeting on Teens and Technology in the Vehicle, Woods Hole, MA

Andrew Krum • Invited Member, National Occupational Research Agenda (NORA) Transportation, Warehousing, and Utilities Sector Council (National Institute for Occupational Safety and Health) • Invited Secretary, Technology Maintenance Council, S.4 Cab and Controls Study Group

Erin Mabry • Chair, Truck and Bus Operator Health and Wellness Subcommittee

Shane McLaughlin • Appointed to the U.S. DOT Motorcycle Advisory Council by the Secretary of Transportation

PRESENTATIONS, HONORS, AWARDS, & SERVICESAndrew Miller • Subcommittee Chair, Truck and Bus Data Subcommittee, TRB ANB70 Truck and Bus Safety • Committee Member, TRB ANB70 Truck and Bus Safety

Ryan Naff • Became Certified Research Administrator

Justin Owens • Session Co-organizer, Breakout Session #13: Challenges and Opportunities for the Intersection of Vulnerable Road Users and Automated Vehicles, 2017 Automated Vehicles Symposium, San Francisco, CA.

Hesham Rakha • Chair, Session TA53 - Improving Energy Efficiency of Personal Transportation, INFORMS Meeting, Oct. 22-25, 2017, Houston, TX • Associate Editor, IEEE Transactions on ITS • Editorial Board, IET Intelligent Transport Systems • Editorial Board, Transportation Letters: The International Journal of Transportation Research • Editorial Board, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations • Member, Transportation Research Board Sub-Committee on Traffic Modeling • Member, Transportation Research Board Committee on Air Quality • Member, ITS America Benefits, Evaluation and Cost Committee • Member, Virginia Tech CEE P&T Committee • Member, Virginia Tech CEE Honorarium Committee • Best Paper Award, 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), Madeira, Portugal, March 2018. • Most Cited Article Award, International Journal of Transportation Science and Technology (IJTST) for paper: Rakha, H., Ahn, K., & Moran K. INTEGRATION Framework for Modeling Eco-routing Strategies: Logic and Preliminary Results. International Journal of Transportation Science and Technology, 1(3), 259-274.

Angie Robinson • Became Certified Research Administrator

Sheldon Russell • Reviewer, Automated Vehicles Symposium Posters • Reviewer, Naturalistic Driving Research Symposium Posters and Oral Presentations • Reviewer, Human Factors

Andy Schaudt • Reviewer, Automated Vehicles Symposium Posters • Reviewer, Naturalistic Driving Research Symposium Posters and Oral Presentations • Reviewer, Accident Analysis & Prevention

Costin Untaroiu • Elected ASME Fellow

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Abdelghaffar, M., Yang, H., & Rakha, H. A. (2017). Isolated Traffic Signal Control using Nash Bargaining Optimization. Global Journal of Research In Engineering, 16(1). https://www.engineeringresearch.org/index.php/GJRE/article/view/1516

Antin, J. F., Guo, F., Fang, Y., Dingus, T. A., Perez, M. A., & Hankey, J. M. (2017). A validation of the low mileage bias using naturalistic driving study data. Journal of Safety Research, 63, 115-120.

Antin, J. F., Guo, F., Fang, Y., Dingus, T. A., Hankey, J. M., & Perez, M. A. (2017). The influence of functional health on seniors’ driving risk. Journal of Transport & Health, 6, 237-244. doi:10.1016/j.jth.2017.07.003

Antin, J. F., Wotring, B., Perez, M., & Glaser, D. (2017). Investigating Lane Change Behaviors and Difficulties for Senior Drivers Using the SHRP 2 Naturalistic Database. Blacksburg, VA: Virginia Tech Transportation Institute.

Atwood, J., Guo, F., Fitch, G., & Dingus, T. A. (2018). The driver-level crash risk associated with daily cellphone use and cellphone use while driving. Accident Analysis & Prevention, 119, 149-154.

Bhagavathula, R., & Gibbons, R. B. (2018). Effects of Mounting Height, Offset Distance, and Number of Light Towers on Drivers’ Visual Performance and Discomfort Glare in Work Zones. Transportation Research Record, 0361198118782762.

Bhagavathula, R., Gibbons, R. B., & Nussbaum, M. A. (2018). Effects of Intersection Lighting Design on Nighttime Visual Performance of Drivers. LEUKOS, 14(1), 25-43.

Bhagavathula, R., Gibbons, R. B., Medina, A., & Terry, T. N. (2017). Examination of the current practice of lighting in Virginia: nighttime work zones and improving safety through the development of nighttime lighting specifications: summary report (No. FHWA/VTRC 18-R4). Charlottesville, VA: Virginia Transportation Research Council.

Bortkiewicz, A., Gadzicka, E., Kosobudzki, M., Dania, M., Szymczak, W., Jozwiak, Z., Szyjkowska, A., Viebig, P., Alicja Pas-Wyroślak, A., Siedlecka, J., Makowiec-Dśbrowska, T., Hickman, J.S. (in press). Analysis of Bus Drivers reaction to Simulated Traffic Collision Situations - Eye-Tracking Studies. International Journal of Occupational Medicine and Environmental Health.

Bowden, Z. E., & Ragsdale, C. T. (accepted). The General Pickup and Delivery Problem with Backtracking Restrictions. International Journal of Operational Research.

Bowden, Z. E., & Ragsdale, C. T. (2018). The truck driver scheduling problem with fatigue monitoring. Decision Support Systems, 110, 20-31.

Camden, M. C., Medina-Flintsch, A., Hickman, J. S., Bryce, J., Flintsch, G., & Hanowski, R. J. (2018). Prevalence of operator fatigue in winter maintenance operations. Accident Analysis & Prevention.

Camden, M. C., Hickman, J. S., Soccolich, S. A., & Hanowski, R. J. (2017). Identification and Recommendations for Correction of Equipment Factors Causing Fatigue in Snowplow Operations (Report No. CR 15-02). St. Paul, MN: Clear Roads Pooled Fund and the Minnesota Department of Transportation.

Camden, M. C., Medina-Flitch, A., Hickman, J. S., Miller, A. M., & Hanowski, R. J. (2017). Leveraging Large Truck Technology and Engineering to Realize Safety Gains: Air Disc Brakes. Washington D.C.: AAA Foundation for Traffic Safety.

Includes technical reports, journal articles, and conference proceedings.

PUBLICATIONS Camden, M. C., Medina-Flitch, A., Hickman, J. S., Miller, A. M., & Hanowski, R. J. (2017). Leveraging Large Truck Technology and Engineering to Realize Safety Gains: Automatic Emergency Braking Systems. Washington DC: AAA Foundation for Traffic Safety. Camden, M. C., Medina-Flitch, A., Hickman, J. S., Miller, A. M., & Hanowski, R. J. (2017). Leveraging Large Truck Technology and Engineering to Realize Safety Gains: Lane Departure Warning Systems. Washington DC: AAA Foundation for Traffic Safety. Camden, M. C., Medina-Flitch, A., Hickman, J. S., Miller, A. M., & Hanowski, R. J. (2017). Leveraging Large Truck Technology and Engineering to Realize Safety Gains: Video-Based Onboard Safety Monitoring Systems. Washington DC: AAA Foundation for Traffic Safety. Camden, M. C., Hickman, J. S., Hanowski, R. J., & Williams, A. K. (2017). Pilot testing a naturalistic driving study to investigate winter maintenance operator fatigue during winter emergencies. Safety, 3(19).

Chavis, C., Jeihani, M., & Rakha, H. (2017). Quantifying the Impact of On-Street Parking Information on Congestion Mitigation (Doctoral dissertation, Morgan State University).

Conde Bento, L., Rakha, H. A., & Nunes, U. (2017). A Study of the Environmental Impacts of Intelligent Automated Vehicle Control at Intersections via V2V and V2I Communications. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations.

Druta, C., & Alden, A. (in press). Utilization of Native Vehicle Sensors for Real-Time Assessment of Roadway Slipperiness: A Proof of Concept Study. SAE Journal.

Duke, R., Klauer, C., & Baker, S. (2017). Development of Curriculum for the Virginia Driver’s Licensing Ceremony. Blacksburg, VA: National Surface Transportation Safety Center for Excellence.

Elhenawy, M., & Rakha, H. (2017). Spatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks. Advances in Science, Technology and Engineering Systems Journal, 2(3), 678-686.

Elhenawy, M., & Rakha, H. (2017). Applying Cluster Analysis Techniques to Traffic Operations. Charlottesville, VA: Virginia Department of Transportation.

Elmoselhy, S., Faris, W., & Rakha, H. (2017). Validated analytical modelling of supercharging centrifugal compressors with vaneless diffusers for H2-biodiesel dual-fuel engines with cooled EGR. International Journal of Hydrogen Energy, 42(3), 26771-26786. doi:10.1016/j.ijhydene.2017.08.125.

Engström, J., Bishop, R., Shladover, S., Murphy, M., O’Rourke, L., Voege, T., Denaro, B., Demato, R. and Demato, D. (in press). Deployment of automated trucking: Challenges and opportunities. In G. Meyer & S. Beiker (Eds.), Road Vehicle Automation 5. London: Springer.

Engström, J., Markkula, G., Xue, Q., & Merat, N. (2018). Simulating the effect of cognitive load on braking responses in lead vehicle braking scenarios. IET Intelligent Transport Systems, 12(6), 427-433.

Engström, J., Bärgman, J., Nilsson, D., Seppelt, B., Markkula, G., Piccinini, G. B., & Victor, T. (2018). Great expectations: a predictive processing account of automobile driving. Theoretical Issues in Ergonomics Science,

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19(2), 156-194.

Fadhloun, K., Rakha, H., & Loulizi, A. (2017). Analysis of Moving Bottlenecks Considering a Triangular Fundamental Diagram. International Journal of Transportation Science and Technology, 5(3), 186-199. doi:10.1016/j.ijtst.2017.01.003.

Fadhloun, K., Rakha, H. A., & Loulizi, A. (2017). Macroscopic Analysis of Moving Bottlenecks. Transportation Letters: The International Journal of Transportation Research, 1-11. doi:10.1080/19427867.2017.1407506.

Fiori, C., Ahn, K., & Rakha, H. A. (2018). Microscopic series plug-in hybrid electric vehicle energy consumption model: Model development and validation. Transportation Research Part D: Transport and Environment, 63, 175-185.

Fiori, C., Ahn, K., & Rakha, H. (2017). Optimum Routing of Battery Electric Vehicles: Insights using Empirical Data and Microsimulation. Transportation Research Part D: Transport and Environment. doi:10.1016/j.trd.2017.08.007.

Fotios, S., & Gibbons, R. (2018). Road lighting research for drivers and pedestrians: The basis of luminance and illuminance recommendations. Lighting Research & Technology, 50(1), 154-186.

Gershon, P., Simons-Morton, B., Ehsani, J., Klauer, S. G., Dingus, T. A., Zhu, C. (accepted). Crash risk and risky driving behavior among adolescents during learner and independent driving periods. Journal of Adolescent Health.

Gershon, P., Simons-Morton, B., Zhu, C., Ehsani, J., Klauer, S. G., & Dingus, T. (in press). Vehicle Ownership and Other Predictors of Teenagers Risky Driving Behavior: Evidence from A Naturalistic Driving Study. Accident Analysis & Prevention.

Gershon, P., Ehsani, J., Zhu, C., O’Brien, F., Klauer, S.G., Dingus, T. & Simons-Morton, B. (2018). The complex nature of teenage risky driving: Evidence from a naturalistic driving study. Accident Analysis and Prevention.

Gibbons, R., Flintsch, A. M., Williams, B., Li, Y. E., Machiani, S. G., & Bhagavathula, R. (2018). Evaluation of Innovative Approaches to Curve Delineation for Two-Lane Rural Roads (No. FHWA/VTRC 18-R25).

Glaser, Y. G., Guo, F., Fang, Y., Deng, B., & Hankey, J. (2017). Investigate moped-car conflicts in China using a naturalistic driving study approach. Journal of Safety Research, 63, 171-175.

Guo, F., Kim, I., & Klauer, S. G. (2017). Semiparametric Bayesian models for evaluating timeśvariant driving risk factors using naturalistic driving data and caseścrossover approach. Statistics in Medicine.

Hammond, R. L., Soccolich, S. A., & Hanowski, R. J. (2018). The impact of driver distraction in tractor-trailers and motorcoach buses. Accident Analysis & Prevention.

Harwood, L., & Doerzaph, Z. (2018). Visualization of the Effect of Topography on Connected Vehicle Communications using LiDAR-derived Models and Interactive Mapping Techniques. International Journal of Transportation, 6(1), 15-28.

Hickman, J. S., Hanowski, R.J., Price, J., Mabry, J.E. (in press). 10th International Conference on Managing Fatigue: Managing Fatigue to Improve Safety, Wellness, and Effectiveness. Accident Analysis and Prevention. Hickman, J. S., Bocanegra, J., & Hanowski, R. J. (2018). A Synthetic Approach to Compare the Large Truck Crash Causation Study and Naturalistic Driving Data. Accident Analysis and Prevention, 112, 11-14. Iftikharuddin, K., Elbakary, M., Afrifa, K., Cetin, M., Rakha, H., & Abdelghaffar, H. (2017). LiDAR for Air Quality Measurement. Washington, DC: Mid-Atlantic Transportation Sustainability University Transportation Center, U.S. Department of Transportation.

Klauer, C., Ankem, G., Guo, F., Baynes, P., Fang, Y., Atkins, W., Baker, S., Duke, R., Hankey, J. M., Dingus, T. A. (2017). Driver Coach Study: Using Realtime and Post Hoc Feedback to Improve Teen Driving Habits. Blacksburg, VA: National Surface Transportation Safety Center for Excellence.

PUBLICATIONS

Klauer, C., Ollendick, T., Ankem, G., Dingus, T. A. (2017). Improving Driving Safety for Teenagers with Attention Deficit and Hyperactivity Disorder (ADHD). Blacksburg, VA: National Surface Transportation Safety Center for Excellence.

Li, Q., Guo, F., Klauer, S. G., & Simons-Morton, B. G. (2017). Evaluation of risk change-point for novice teenage drivers. Accident Analysis & Prevention, 108, 139-146.

Liu, S. Y., Perez, M. A., & Lau, N. (2018). The impact of sleep disorders on driving safety—findings from the Second Strategic Highway Research Program naturalistic driving study. Sleep, 41(4). doi:10.1093/sleep/zsy023

Loulizi, A., Rakha, H. A., & Bichiou, Y. (2017). Quantifying Grade Effects on Vehicle Fuel Consumption for use in Sustainable Highway Design. International Journal of Sustainable Transportation, 12(6), 441-451. doi:10.1080/15568318.2017.1385878.

Owens, J. M., Sandt, L., Morgan, J. F., Sundararajan, S., Clamann, M., Manocha, D., Steinfeld, A., Maheshawri, T. & Cooper, J. (in press). Challenges and Opportunities for the Intersection of Vulnerable Road Users (VRU) and AVs. In Road Vehicle Automation 5. London: Springer.

Owens, J. M., Dingus, T. A., Guo, F., Fang, Y., Perez, M., McClafferty, J., Tefft, B. (2018). Prevalence of Drowsy Driving Crashes: Estimates from a Large-Scale Naturalistic Driving Study (Research Brief). Washington, DC: AAA Foundation for Traffic Safety.

Owens, J. M., Dingus, T. A., Guo, F., Fang, Y., Perez, M., McClafferty, J., & Tefft, B. (2018). Estimating the prevalence and crash risk of drowsy driving using data from a large-scale naturalistic driving study (Paper No. 18-04410) [Extended Abstract]. Washington, DC: Transportation Research Board.

Owens, J. M., Tefft, B., Guo, F., Fang, Y., Perez, M., McClafferty, J,. & Dingus, T. A. (2018). Crash risk of cell phone use while driving: case-crossover study of SHRP 2 Naturalistic Driving Data (Paper No. 18-03148) [Extended Abstract]. Washington, DC: Transportation Research Board.

Owens, J. M., Dingus, T. A., Guo, F., Fang, Y., Perez, M., & McClafferty, J. (2018). Crash Risk of Cell Phone Use While Driving: A Case-Crossover Analysis of Naturalistic Driving Data. Washington, DC: AAA Foundation for Traffic Safety.

Owsley, C., McGwin, G., Antin, J. F., Wood, J. M., & Elgin, J. (2018). The Alabama VIP older driver study rationale and design: examining the relationship between vision impairment and driving using naturalistic driving techniques. BMC Ophthalmology, 18(1), 32.

Palmer, M., Gibbons, R., Bhagavathula, R., & Holshouser, D. (2018). Roadway Lighting’s Impact on Altering Soybean Growth–Volume 2: LED versus HPS Color Spectral Impact. Illinois Center for Transportation/Illinois Department of Transportation.

Palmer, M., Gibbons, R., Bhagavathula, R., Holshouser, D., & Davidson, D. (2017). Roadway Lighting’s Impact on Altering Soybean Growth (No. FHWA-ICT-17-014).

Rakha, H., Elbery, A., & Wang, J. (2017). Developing and Field Implementing a Dynamic Eco-routing System. Washington, DC: U.S. Department of Transportation University Transportation Centers Program.

Rakha, H., Chen, H., Almannaa, M., El-Shawarby, I., & Loulizi, A. (2017). Developing and Field Implementing an Eco-Cruise Control System in the Vicinity of Traffic Signalized Intersections. Washington, DC: U.S. Department of Transportation University Transportation Centers Program.

Roan, M. J., Neurauter, L., Moore, D., & Glaser, D. (2017). Assessing the Ability of Pedestrians to Safely Hear Approaching Electric Vehicles. Sound and Vibration, 51(10), 6-13.

Sand, L. & Owens, J. M. (2017) Discussion Guide for Automated and Connected Vehicles, Pedestrians, and

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Bicyclists. Chapel Hill, NC: Pedestrian and Bicycle Information Center.

Schaudt, W. A., & Russell, S. (2018). Judging a Car by its Cover: Human Factors Implications for Automated Vehicle External Communication. In G. Meyer & S. Beiker (Eds.), Road Vehicle Automation 5. London: Springer International Publishing AG. ISBN 978-3-319-94896-6

Simons-Morton, B. G., Ehsani, J. P., Gershon, P., Klauer, S. G., & Dingus, T. A. (2017). Teen driving risk and prevention: naturalistic driving research contributions and challenges. Safety, 3(4), 29.

Soccolich, S.A., Hickman, J.S., & Hanowski, R.J. (2017). Fatigue and Distraction in Occupational Light Vehicle Drivers (Report No. 16-UI-057). Blacksburg, VA: National Surface Transportation Safety Center for Excellence.

Sundararajan, S., Yousef, M., Omay, M., Steinfeld, A., & Owens, J. M. (in press). Automated Vehicles (AVs) for People with Disabilities. In Road Vehicle Automation 5. London: Springer.

Svärd, M., Markkula, G., Engström, J., Granum, F., & Bärgman, J. (2017). A quantitative driver model of pre-crash brake onset and control. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 61, No. 1, pp. 339-343). Los Angeles, CA: SAGE Publications.

Thiese, M. S., Hanowski, R. J., Moffitt, G., Kales, S. N., Porter, R. J., Ronna, B., ... & Hegmann, K. T. (2018). A retrospective analysis of cardiometabolic health in a large cohort of truck drivers compared to the American working population. American Journal of Industrial Medicine, 61(2), 103-110. doi:10.1002/ajim.22795

Wang, J., & Rakha, H. A. (2018). Longitudinal Train Dynamics Model for a Rail Transit Simulation System. Transportation Research Part C: Transportation Research Part C Emerging Technologies, 86. doi:10.1016/j.trc.2017.10.011.

Wang, J., & Rakha, H. (2017). Fuel Consumption Model for Heavy Duty Diesel Trucks: Model Development and Testing. Transportation Research Part D: Transport and Environment, 55, 127-141. doi:10.1016/j.trd.2017.06.011.

Wang, J., Rakha, H., & Fadhloun, K. (2017). Validation of the Rakha-Pasumarthy-Adjerid Car-Following Model for Vehicle Fuel Consumption and Emission Estimation Applications. Transportation Research Part D: Transport and Environment, 55, 246-261. doi:10.1016/j.trd.2017.06.030.

Williams, V., McLaughlin, S., McCall, R., & Buche, T. (2017). Motorcyclists’ Self-Reported Riding Mileage Versus Actual Riding Mileage in the Following Year. Journal of Safety Research, 63, 121-126.

Xue, W., Flintsch, G. W., Diefenderfer, B. K., Bowers, B. F., & Bowers, B. (2017). Characterization and Modeling of Recycled Pavement Sections (No. CAIT-UTC-NC29). Charlottesville, VA: Virginia Center for Transportation Innovation and Research.

Yang, H., & Rakha, H. (2017). A Novel Approach for Estimation of Dynamic from Static Origin-Destination Matrices. Transportation Letters: The International Journal of Transportation Research, 1-10. doi:10.1080/19427867.2017.1336353.

Yang, H., & Rakha, H. (2017). Feedback Control Speed Harmonization Algorithm: Methodology and Preliminary Testing. Transportation Research Part C, 81, 209-226. doi:10.1016/j.trc.2017.06.002.

STUDENT PUBLICATIONSDenotes publications on which student(s) served as an author

Baker, W., Chowdhury, M. R., & Untaroiu, C. D. (2018) Validation of a Booted Finite Element Model of the WIAMan ATD Lower Limb in Component and Whole-Body Vertical Loading Impacts with an Assessment of the Boot Influence Model on Response. Traffic Injury Prevention, 19(5), 549-554.

Bland, M. L., McNally, C., & Rowson, S. (2018). Differences in Impact Performance of Bicycle Helmets During Oblique Impacts. Journal of Biomechanical Engineering, 140(9). doi:10.1115/1.4040019

PUBLICATIONS

Bland, M. L., Zuby, D. S., Mueller, B. C., & Rowson, S. (2018). Differences in the protective capabilities of bicycle helmets in real-world and standard-specified impact scenarios. Traffic Injury Prevention, 19(sup1), S158-S163. doi:10.1080/15389588.2017.1388915

de Winter, J. C. F., Dreger, F. A., Huang, W., Miller, A., Soccolich, S., Machiani, S. G., & Engström, J. (2018). The relationship between the Driver Behavior Questionnaire, Sensation Seeking Scale, and recorded crashes: a brief comment on Martinussen et al. (2017) and new data from SHRP2. Accident Analysis & Prevention, 118, 54-56.

Krothapalli, U., Stowe, L., Doerzaph, Z., & Peterson, A. (2018). Application of Proximity Sensors to In-vehicle Data Acquisition Systems. http://hdl.handle.net/10919/82969

Meng, Y., & Untaroiu, C. D. (in press). A Review of Pediatric Lower Extremity Data for Pedestrian Numerical Modeling: Injury Epidemiology, Anatomy, Anthropometry, Structural and Mechanical Properties. Applied Bionics and Biomechanics.

Meng, Y., Pak, W., Guleyupoglu, B., Koya, B., Gayzik, F. S., & Untaroiu, C. D. (2017). A finite element model of a six-year-old child for simulating pedestrian accidents. Accident Analysis & Prevention, 98, 206-213.

Sarkar, A., Doerzaph, Z., & Abbott, L. (2017). Video Magnification to Detect Heart Rate for Drivers (17-UT-058). http://hdl.handle.net/10919/80377

Scanlon, J. M., Sherony, R., & Gabler, H.C. (2018). Models of Driver Acceleration Behavior prior to Real-World Intersection Crashes. IEEE Transactions – Intelligent Transportation Systems, 19(3), 774-786.

Scanlon, J. M., Sherony, R., & Gabler, H.C. (2017). Earliest Sensor Detection Opportunity for Left Turn Across Path Opposite Direction Crashes. IEEE Transactions – Intelligent Vehicles, 2(1), 62-70. doi:10.1109/TIV.2017.2708611

Scanlon, J. M., Sherony, R., & Gabler, H. C. (2017). Injury Mitigation Estimates for an Intersection Driver Assistance System in Straight Crossing Path Crashes in the U.S. Traffic Injury Prevention, 18(1), 9-17. doi:10.1080/15389588.2017.1300257

Shrestha, S., Katicha, S. W., Flintsch, G. W., & Thyagarajan, S. (2018). Application of Traffic Speed Deflectometer for Network-Level Pavement Management. Transportation Research Record.

Untaroiu, C. D., Pak, W., Meng, Y., Schap, J., Koya, B., & Gayzik, F. S. (2018). A Finite Element Model of a Mid-Size Male for Simulating Pedestrian Accidents. ASME Journal of Biomedical Engineering, 140(1), 011003.

Wusk, G., & Gabler, H. C. (2018). Non-Invasive Detection of Respiration and Heart Rate with a Vehicle Seat Sensor. Sensors, 18(5), 1463. doi:10.3390/s18051463

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NAMECyril Clarke

Dwight SheltonTheresa Mayer

Julia RossPam VandeVordSam Easterling

Azim EskandarianLuke Lester

Eileen Van AkenRobert Sumichrast

Paul HerrSally Morton

Ron FrickerRobert Schubert

Hunter PittmanJoel PetersTom Dingus

Pascha GerniJon Hankey

VTTI STAKEHOLDERS

DEPARTMENT/COLLEGEOffice of the Provost Office of the Vice President for Finance and Chief Financial OfficerOffice of the Vice President for Research and InnovationCollege of EngineeringBiomedical Engineering and MechanicsCivil and Environmental EngineeringMechanical EngineeringElectrical and Computer EngineeringIndustrial and Systems Engineering Pamplin College of BusinessMarketingScienceStatistics College of Architecture and Urban StudiesArchitecture + DesignPublic Administration & PolicyVirginia Tech Transportation InstituteVirginia Tech Transportation InstituteVirginia Tech Transportation Institute

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2018 FISCAL YEAR

annual report - virginia techvirginia, the global center for automotive performance simulation...

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