Unlocking Forensics Data for Vehicles Involved in Motor Vehicle Crashes

The project seeks to evaluate the potential of using data logging systems in modern vehicles, particularly connected and automated vehicles, to enhance the accuracy of crash reports. The research focuses on the retrieval and analysis of data from event data recorders and infotainment systems in vehicles involved in serious crashes, which is currently underutilized due to legal and practical constraints. By employing proprietary systems like Bosch Crash Data Retrieval and Berla iVe Ecosystem, the study will download data from vehicles in Connecticut scrap yards, cross-referencing it with corresponding police reports to assess the accuracy and completeness of official crash documentation. This approach aims to provide new insights into crash circumstances, particularly in cases of distracted driving, which is often underreported. The project is a collaborative effort between University of Connecticut (UConn) and various police departments, and will involve comprehensive data analysis to determine the value and impact of utilizing such forensic tools in crash investigations. The findings are expected to inform law enforcement and crash data collection practices, potentially leading to more accurate reporting and better understanding of factors like distracted driving in motor vehicle accidents.


    • English


    • Status: Active
    • Funding: $108000
    • Contract Numbers:


    • 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:

      University of Massachusetts, Amherst

      Department of Civil and Environmental Engineering
      130 Natural Resources Road
      Amherst, MA  United States  01003
    • Performing Organizations:

      University of Connecticut, Storrs

      Connecticut Transportation Institute
      270 Middle Turnpike, Unit 5202
      Storrs, CT  United States  06269-5202
    • Principal Investigators:

      Grasso, Charles

    • Start Date: 20240101
    • Expected Completion Date: 20241231
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program
    • Subprogram: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01904460
    • Record Type: Research project
    • Source Agency: New England University Transportation Center
    • Contract Numbers: 69A3552348301
    • Files: UTC, RIP
    • Created Date: Jan 12 2024 11:07AM