Advancing crash investigation with connected and automated vehicle data - Phase 2
This project aims to identify training needs in the area of automated driving systems (ADS) for law enforcement officers and crash investigators to identify data available to connected and automated vehicles (CAV) that can augment modern crash investigation procedures. The objective of this project is to investigate these two topics by engaging professional collision investigators for perspectives on augmenting investigations with CAV data and reconnecting with law enforcement to identify training gaps. The research findings and products will be of interest to law enforcement, state agencies such as DOT and DMV, private sector crash investigators, and advocates for safety such as AAA Foundation. This work expands on CSCRS Project R25 Advancing Crash Investigation with Connected and Automated Vehicle Data which focused exclusively on the perspectives of law enforcement officers. Two key findings of the previous work showed that law enforcement tended to focus their recommendations on current shortcomings in collision investigation data, rather than on an expansion of data collection capabilities, and this focus was likely related to a lack of exposure to ADS technology.
- Record URL:
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Supplemental Notes:
- CSCRS2021R42
Language
- English
Project
- Status: Active
- Funding: $41500
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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 at Chapel Hill
UNC-CH New East Building
Campus Box #3140
Chapel Hill, North Carolina United States 27599-3140 Knoxville, TN United States -
Principal Investigators:
Khattak, Asad
- Start Date: 20210601
- Expected Completion Date: 20220803
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Advanced vehicle control systems; Autonomous vehicles; Connected vehicles; Crash data; Crash investigation; Data collection; Police; Traffic law enforcement; Training
- Subject Areas: Data and Information Technology; Education and Training; Highways; Law; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01771373
- Record Type: Research project
- Source Agency: Collaborative Sciences Center for Road Safety
- Contract Numbers: 69A3551747113
- Files: UTC, RIP
- Created Date: May 7 2021 10:37AM