ddsa tools and training - kentucky transportation cabinet...ddsa tools and training nathan ridgway,...
TRANSCRIPT
![Page 1: DDSA Tools and Training - Kentucky Transportation Cabinet...DDSA Tools and Training Nathan Ridgway, PE. Why Data Driven Safety Analysis? A statistical based approach that aids and](https://reader034.vdocuments.us/reader034/viewer/2022050200/5f5453a599b77a43d2747f54/html5/thumbnails/1.jpg)
DDSA Tools and Training
Nathan Ridgway, PE
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Why Data Driven Safety Analysis?
▰ A statistical based approach that aids and supports engineering judgment and decision making.
▰ Crashes can be quantified based on project decisions.
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SafetyImpacts
Operational Impacts
Project
Physical Impacts
Safety Impacts
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What are the Tools?▰ Crash Data – CDAT▰ Predictive Analysis
▰ HSM spreadsheets▰ ISATe▰ IHSDM
▰ Others ▰ SPICE and CAP-X▰ Network Screening Tool
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Training
▰ 3 Tiers▰ Beginning▰ Intermediate▰ Advanced
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Beginning Tier
▰ Suggested web based courses/webinars to allow the user to become familiar with the terms and calculations of the HSM
▰ NHI course offerings at zero cost
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Beginning Tier
▰ NHI Courseso Highway Safety Manual Online Overview (NHI 380106)
o Safety Data and Analysis Fundamental Training for Data Analysts (NHI 380122A)
o Safety Data and Analysis Fundamentals Training for Data Collectors/Stewards (NHI 380122B)
o Safety Data and Analysis Fundamentals Training for Project and Program Managers (NHI 380122C)
o Safety Data and Analysis Fundamentals Training for Senior Managers and Safety Advocate (NHI 380122D)
https://www.nhi.fhwa.dot.gov/course-search?tab=0
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Intermediate Tier
▰ Predictive Methods▰ HSM spreadsheets
▰ HSM Practioner’s Guide for Geometric Design Features (NHI 380070
▰ ISATe and IHSDM▰ Safety Analysis of Freeway Segments and
Interchanges (NHI 380071)
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Advanced Tier
▰ KYTC developed courses to aid project managers and safety analyzers▰ Interpretation and Presentation
of Predictive Method Results▰ Limitations of Safety Analysis
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Next Steps
▰ Implementation Timeline
▰ Training Matrix
▰ Prequalifications
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DDSA Web ResourceJarrod Stanley
Research Coordinator – KYTC
jarrod Stanley@ky gov
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https://business.kytc.ky.gov/work/DDSA/Pages/default.aspx
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SectionsHome Crash Data DDSA Tools Training Consultant
InformationResources
What is DDSA?DDSA)
KSP (public site) ISATeWSDOT SR 509 PBPD Webinar
Example Safety StudiesKYTC
Crash Costs
Implementation Plan & Schedule (Coming Soon)
KY’s Open Portal Solution (Login
Required)
IHSDM Performance Based Practical
Design
Recommended Tasks & Hours -
DRAFTFDOT DDSA
Manual
Guide to KYTC Collision Data
CAPX/SPICE Potential for Crash Reduction the NEW Critical
Rate Factor
Summary of SPFs and AFsSHIFT Safety
Iowa DOT DDSA Manual
HIVEi (KYTC Only)
DDSA Resources
Observed, Predicted and
Expected Crashes – Video
LADOTD DDSA Manual
Comparison of the Tools
The Predictive Method - Video
Acronyms and Terms
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One Stop Business Portalhttps://onestop.ky.gov/Pages/default.aspx
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After Account is created:
▰ Visit DDSA Website▰ Request Access▰ Webmaster (Jarrod) will approve and
assign a group▰ Browse the site
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Kentucky-Specific SPF Spreadsheets
William Staats, PE
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Purpose
▰ Allow for easy application of the Kentucky-specific SPFs
▰ Ensures uniform use of the SPFs across the state
▰ Assists in safety analysis and identifying high crash segments
▰ *Spreadsheets are currently in draft form and are not fully operational
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SPF Development
▰ SPFs were developed for the SHIFT 2020 cycle
▰ 8 roadway types and 36 intersection types▰ Calibrated to balance between accuracy
and the amount of data needed
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Base Conditions
▰ Base conditions are the common characteristics of the dataset used to calibrate an SPF
▰ Different for each roadway type▰ Any segment differing from its SPF’s base
conditions needs an adjustment factor to account for the difference
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Uniform Segments
▰ Segments must be uniform with respect to each SPFs base conditions
Roadway Type Must be uniform with respect to:Rural Two Lane No Intersections AADT Lane width Shoulder width Median width Horizontal curve degree GradeUrban Two Lane No Intersections AADTRural Interstate/Parkway No Intersections AADTUrban Interstate/Parkway No Intersections AADTRural Multilane Divided No Intersections AADT Shoulder WidthRural Multilane Undivided No Intersections AADT Lane WidthUrban Multilane Divided No Intersections AADT Median WidthUrban Multilane Undivided No Intersections AADT Lane width
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Obtaining Crash Data
▰ Create uniform segments table▰ Import .csv into CDAT▰ Export crash data
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Using the Spreadsheets
▰ Follow color-coded instructions on “Instruction” tab
▰ Each roadway type is a separate tab▰ All data is summarized in the “Summary”
tab
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Instruction
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Rural Multilane Divided
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Summary Table
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Application of CMFs
Jared Love, PE, PTOE, PMP
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Apply CMFs to Calculated SPF Values
▰ Review applicable SPF “base case” or typical features
▰ Determine how study site differs from “base case”
▰ Select CMFs for road type and atypical features from Part C
▰ Multiply SPF value by applicable CMFs
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Base Conditions2-Lane Rural Highways
▰ 90o angle (00 skew)▰ No left turn lanes
▰ No right turn lanes
▰ No Lighting
▰12-ft lane widths▰6-ft shoulder widths▰Roadside Hazard Rating -- 3▰5 driveways per mile▰Tangent, flat alignment
(No vertical grade)▰No centerline rumble strips▰No passing lanes▰No two-way left turn lanes▰No lighting▰No automated speed
enforcement
Road segmentsIntersections
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Base ConditionsMultilane Rural Arterials
▰ 90o angle (00 skew)▰ No left turn lanes
▰ No right turn lanes
▰ No Lighting
▰12-ft lane widths▰8-ft shoulder widths▰30-ft median▰No lighting▰No automated speed
enforcement
Road segmentsIntersections
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Base ConditionsUrban and Suburban Arterials
▰ No left turn lanes
▰ Permissive left-turn signal phasing
▰ No right turn lanes
▰ Right-turn on red permitted
▰ No Lighting
▰ No automated enforcement
▰ No bus stops, schools or alcohol sales establishments near i t ti
▰No on-street parking▰No roadside fixed objects▰15-ft median▰No lighting▰No automated speed
enforcement
Road segmentsIntersections
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Crash Modification Factor (CMF)
▰ Expected Crashes = CMF x (base condition crashes)
▰ You can remember it as “M is for multiply”
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CMF Example
% Reduction in Crashes
CMF = 0.90
Expected crashes= CMF* (base condition crashes)=0.9* base condition crash frequency
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Apply CMF ONLY if:
▰ Known base conditions▰ Setting and road type▰ AADT range▰ Crash type and severity
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Crash Data AccessAnalysis Tool
Eric Green, PE
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What is CDAT?
▰ Integrates crash with road data▰ Includes advanced crash flags▰ Includes HSM-based analysis▰ Compare to similar roads/regions▰ More than KYOPS▰ Updated once a year (matches rates report)▰ Maps… coming soon!
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http://crashtool.uky.edu
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Access
▰ Anonymous: no access to CDAT▰ Basic: A basic user has access to information
currently available to the public.▰ Advanced: An advanced user has a current and
signed MOU on file with KYTC and has access to information as outlined in that agreement
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Functionality
▰ Query mode:▰ Country, route and milepoint
range▰ Import mode:
▰ Upload your own file
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