Advancing accident investigation with connected and automated vehicle data

During this project the research team will (1) Collaborate with law enforcement to identify strengths and shortcomings with existing EDR files and determine how data available to connected and automated vehicles can be leveraged to improve accident investigation procedures and results. (2) Identify other stakeholders who could benefit from improved crash data. (3) Develop a framework for crash data presentation and archiving that improves on the current paper-based process.

Language

  • English

Project

  • Status: Active
  • Funding: $76,562
  • Contract Numbers:

    69A3551747113

  • 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:

    Collaborative Sciences Center for Road Safety

    University of North Carolina, Chapel Hill
    Chapel Hill, NC  United States  27514
  • Project Managers:

    Sandt, Laura

  • Performing Organizations:

    University of North Carolina Highway Safety Research Center

    730 Martin Luther King Jr. Boulevard CB # 3430
    Chapel Hill, NC  United States  27599-3430

    University of Tennessee, Knoxville

    Knoxville, TN  United States 
  • Principal Investigators:

    Clamann, Michael

    Khattak, Asad

  • Start Date: 20190603
  • Expected Completion Date: 20200603
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01715887
  • Record Type: Research project
  • Source Agency: Collaborative Sciences Center for Road Safety
  • Contract Numbers: 69A3551747113
  • Files: UTC, RiP
  • Created Date: Aug 29 2019 4:34PM