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.

Language

• English

Project

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

  69A3552348301

• 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

• TRT Terms: Connected vehicles; Crash analysis; Crash data; Crash investigation; Data analysis; Data logging
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

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