State of the Practice of Crash Reporting in the US and Implications for CAV Safety Assessment

Connected and autonomous vehicles (CAVs) are becoming increasingly prevalent in the US, with most new vehicles having some form of Automated Driving System (ADS) or Advanced Driver Assistance Systems (ADAS). There has been significant research into the possible safety impacts of these vehicles and technologies, most coming to the conclusion that safety will improve. However, most of these studies rely on driving data, simulations, models, or surrogate safety data, which make large-scale application and assessment of current safety implications difficult for state and local transportation agencies. Even in states on the forefront of autonomous vehicle development and testing, such as Utah, there are no mechanisms in crash reporting procedures for documenting CAV-related crashes. The objective of this project is to assess the state of the practice of crash reporting in the US in the context of CAVs. This will be done via a comprehensive review of current crash reporting practices and current guidance and definitions regarding CAV safety and reporting at state, federal, and industry levels. This project is expected to produce a summary of those best practices, definitions, challenges, and knowledge gaps, as well as identify possible recommendations for state agencies regarding CAV crash reporting.

Language

  • English

Project

  • Status: Active
  • Funding: $160000
  • Contract Numbers:

    69A3551747108

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Civil & Environmental Engineering Department

    Utah State University
    Logan, UT  United States 
  • Principal Investigators:

    Mekker, Michelle

  • Start Date: 20210824
  • Expected Completion Date: 20220731
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-660

Subject/Index Terms

Filing Info

  • Accession Number: 01781290
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RIP
  • Created Date: Sep 2 2021 3:24PM