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DDSA Tools and Training Nathan Ridgway, PE Why Data Driven Safety - PowerPoint PPT Presentation

DDSA Tools and Training Nathan Ridgway, PE 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. Project


  1. DDSA Tools and Training Nathan Ridgway, PE

  2. 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.

  3. Project Physical Operational Safety Impacts Impacts Impacts Safety Impacts

  4. What are the Tools? ▰ Crash Data – CDAT ▰ Predictive Analysis ▰ HSM spreadsheets ▰ ISATe ▰ IHSDM ▰ Others ▰ SPICE and CAP-X ▰ Network Screening Tool

  5. Training ▰ 3 Tiers ▰ Beginning ▰ Intermediate ▰ Advanced

  6. 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

  7. Beginning Tier ▰ NHI Courses o 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

  8. 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)

  9. Advanced Tier ▰ KYTC developed courses to aid project managers and safety analyzers ▰ Interpretation and Presentation of Predictive Method Results ▰ Limitations of Safety Analysis

  10. Next Steps ▰ Implementation Timeline ▰ Training Matrix ▰ Prequalifications

  11. DDSA Web Resource Jarrod Stanley Research Coordinator – KYTC jarrod Stanley@ky gov

  12. https://business.kytc.ky.gov/work/DDSA/ Pages/default.aspx

  13. Sections Home Crash Data DDSA Tools Training Consultant Resources Information What is DDSA? KSP (public site) ISATe Example Safety Crash Costs DDSA) WSDOT SR 509 Studies PBPD Webinar KYTC Implementation KY’s Open Portal IHSDM Performance Recommended Plan & Schedule Solution (Login Based Practical Tasks & Hours - FDOT DDSA (Coming Soon) Required) Design DRAFT Manual Guide to KYTC CAPX/SPICE Potential for Summary of Iowa DOT DDSA Collision Data Crash Reduction SPFs and AFs Manual the NEW Critical SHIFT Safety Rate Factor HIVEi (KYTC DDSA Observed, LADOTD DDSA Only) Resources Predicted and Manual Expected Crashes – Video Comparison of The Predictive Acronyms and the Tools Method - Video Terms

  14. One Stop Business Portal https://onestop.ky.gov/Pages/default.aspx

  15. After Account is created: ▰ Visit DDSA Website ▰ Request Access ▰ Webmaster (Jarrod) will approve and assign a group ▰ Browse the site

  16. Kentucky-Specific SPF Spreadsheets William Staats, PE

  17. 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

  18. 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

  19. 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

  20. 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 Grade Urban Two Lane No Intersections AADT Rural Interstate/Parkway No Intersections AADT Urban Interstate/Parkway No Intersections AADT Rural Multilane Divided No Intersections AADT Shoulder Width Rural Multilane Undivided No Intersections AADT Lane Width Urban Multilane Divided No Intersections AADT Median Width Urban Multilane Undivided No Intersections AADT Lane width

  21. Obtaining Crash Data ▰ Create uniform segments table ▰ Import .csv into CDAT ▰ Export crash data

  22. 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

  23. Instruction

  24. Rural Multilane Divided

  25. Summary Table

  26. Application of CMFs Jared Love, PE, PTOE, PMP

  27. 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

  28. Base Conditions 2-Lane Rural Highways Intersections Road segments ▰ 12-ft lane widths ▰ 90 o angle (0 0 skew) ▰ 6-ft shoulder widths ▰ No left turn lanes ▰ Roadside Hazard Rating -- 3 ▰ No right turn lanes ▰ 5 driveways per mile ▰ No Lighting ▰ 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

  29. Base Conditions Multilane Rural Arterials Intersections Road segments ▰ 12-ft lane widths ▰ 90 o angle (0 0 skew) ▰ 8-ft shoulder widths ▰ No left turn lanes ▰ 30-ft median ▰ No right turn lanes ▰ No lighting ▰ No Lighting ▰ No automated speed enforcement

  30. Base Conditions Urban and Suburban Arterials Intersections Road segments ▰ No on-street parking ▰ No left turn lanes ▰ No roadside fixed objects ▰ Permissive left-turn signal ▰ 15-ft median phasing ▰ No lighting ▰ No right turn lanes ▰ No automated speed ▰ Right-turn on red permitted enforcement ▰ No Lighting ▰ No automated enforcement ▰ No bus stops, schools or alcohol sales establishments near i t ti

  31. Crash Modification Factor (CMF) ▰ Expected Crashes = CMF x (base condition crashes) ▰ You can remember it as “M is for multiply”

  32. CMF Example CMF = 0.90 % Reduction in Crashes Expected crashes = CMF* (base condition crashes) =0.9* base condition crash frequency

  33. Apply CMF ONLY if: ▰ Known base conditions ▰ Setting and road type ▰ AADT range ▰ Crash type and severity

  34. Crash Data Access Analysis Tool Eric Green, PE

  35. 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!

  36. http://crashtool.uky.edu

  37. 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

  38. Functionality ▰ Query mode: ▰ Country, route and milepoint range ▰ Import mode: ▰ Upload your own file

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