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.
- Record URL:
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Supplemental Notes:
- CSCRS2019R25
Language
- English
Project
- Status: Active
- Funding: $76,562
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Contract Numbers:
69A3551747113
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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
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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 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
- TRT Terms: Autonomous vehicles; Connected vehicles; Crash data; Crash investigation; Data collection; Event data recorders; Law enforcement; Stakeholders
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
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