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Status of ITS Status of ITS researchresearch
May 6May 620102010
Peter SweatmanPeter Sweatman
[email protected]@umich.edu
David Kapp
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University role in ITS researchUniversity role in ITS research
n Current university role is subsidiaryn Universities can assist ITS to be more
transformativeo Where will the transportation funding come from?
New funding models needed.o Universities are safety leaders and safety must go
globalo Large sectors beyond “transportation” are interested
in ITS (energy, environment, sustainability); universities already have multiple interests
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Current University role is Current University role is significant, yet subsidiarysignificant, yet subsidiary
Universities have the capability to cover a) through c) at least
Driver attention, response, behavior and attitudes are critical – major current university role – major data resources with minimal analysis
Developing technologies and materials eg. wireless, cellular, sensors, intelligent materialsVehicle design and performanceInfrastructure design, performance and maintenanceHighway operations and traffic modeling
a) Innovation and development
b) Demonstration and evaluation
c) Policy and standards
d) Deployment
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Researching the components of the Researching the components of the systemsystem
n Drivers (2)o We don’t understand how people drive
n Vehicles (7)o Safety, advanced modeling, sensors, situational awareness
n Infrastructure (4)o Traffic operations, asset management, safety, ITS
n Information technology (9)o Mobile devices, networks
n Energy/environment (5)o Powertrains, fuels, electrification, smart grid
IntelliDrive
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5
IVBSS Scope and PurposeIVBSS Scope and Purposen A 5 year effort to develop and field test integrated
safety systems for passenger vehicles and heavy trucks
n Safety systems will provide warnings for rear-end, lane change and road departure crashes in addition to arbitration of multiple crash threatso Forward crash warning, lane departure warning,
lane change/merge warning, curve speed warning n Includes a one-year field test on public roads to
determine system performance, safety benefits, and user acceptance
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6
Light Vehicle Sensor Light Vehicle Sensor CoverageCoverage
Forward Crash Warning (FCW)
Lateral Drift Warning (LDW)
Lane-change/Merge (LCM)
Curve speed Warning (CSW)
Radar
Vision
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7
Nov 2005 Nov 2006 Nov 2008 August 2010June 2008 Feb 2009
EngineeringDevelopment
Vehicles
Prototype Vehicles
Pilot Vehicles
Extended Pilot FOT
FOTData
Collection
Phase II – 27 monthsPhase I – 30 months
Timeline - Vehicle Deployment
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U.S. DOT Field Operational Tests Conducted by UMTRI
1990 2010
Light Vehicles & Heavy Trucks – Multiple Systems
Est. 750K mi150+ driversIVBSS
Light Vehicles– Lane Departure/Curve Speed
137K mi, 78 driversRDCW FOT
Light Vehicles – Forward Crash/ACC110K mi, 96 driversACAS FOT
ACAS FOT (GM/Delphi/UMTRI)
RDCW FOT (UMTRI/Visteon)
Light Vehicles – ACCICC FOT 131K mi, 108 drivers
Heavy Trucks - Rollover480K mi, 23 drivers RSA
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n Simulates the movements of individual vehicles
n Simulates interactions witho Road geometryo Other vehicleso Traffic signalso Variable message signso Incidentso Pedestrians
n Offers an extensive application programming interfaceo Allows a wide array of new functionalities to be modeledo Allows overriding of driver behavior models
Modeling of IntelliDriveModeling of IntelliDrive
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U.S. DOT VII Proof-of-Concept U.S. DOT VII Proof-of-Concept TestbedTestbed
Detroit
Novi
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IntelliDrive System Modeling ConceptIntelliDrive System Modeling Concept
Simulation of RSEs using VMS Beacons
Simulation of RSEs using VMS Beacons
Snapshot generation to be performed by vehicles
Snapshot generation to be performed by vehicles
Snapshots to remain within vehicle until upload by an RSE
Snapshots to remain within vehicle until upload by an RSE
Applications associated with the network or specific simulation objects
Applications associated with the network or specific simulation objects
Data storage within link objects used a emulator of link-based database at a central server
Data storage within link objects used a emulator of link-based database at a central server
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Fuel economy
Unemployment
Price of gasoline
The system we have now
Historic reduction of 9000 fatalities
We don’t know where the levers are
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Carbon dioxide
1/Fuel economyDistance driven
-12% -8%
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Fatalities
Distance driven
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““System” data is at a primitive stageSystem” data is at a primitive stage
n Safety is trying to change human behavior in critical situations
o Design of the interface between driver and technology
n Avoiding unintended consequencesn Setting standards
o Minimum performance standardso Ratingso While technology rapidly evolves
n Measuring effectivenesso Crash studieso Near-crash studies (eg. SHRP 2)o Warning rates from driver assist systems
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VideoVideoCurrent Data Visualization
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As we move to a system with As we move to a system with defined end states and variablesdefined end states and variables
n This will be a complex systemo Discontinuities, tipping points
n We will need open data systems, not only for developers and entrepreneurs but also for to monitor the system stateo Unintended consequences