Unlocking Forensics Data for Vehicles Involved in Motor Vehicle Crashes [supporting data]

Details

• Creators:
  Grasso III, Charles ; Lemke, Eric ; Getty, Rosanna
• Corporate Creators:
  New England University Transportation Center ; University of Connecticut
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  Connected Vehicles Crash Analysis Crash Data Crash Investigation Crash Reconstruction Data Collection Data Recorders Electronic Control Electronic Equipment Forensic Science Real Time Data Processing Safety Traffic Lanes

  More +
• DOI:
  https://doi.org/10.7910/DVN/KZT0OR
• Resource Type:
  Dataset
• Right Statement:
  Open Access; https://creativecommons.org/publicdomain/zero/1.0/
• Geographical Coverage:
  United States
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  This project evaluated how incorporating vehicle electronic crash data—particularly Event Data Recorder (EDR) outputs accessed via the Bosch Crash Data Retrieval (CDR) system—enhanced the accuracy, completeness, and interpretive value of crash reconstructions compared with using physical evidence alone. The team conducted five paired fatal-crash reconstructions: each case was first analyzed with traditional scene and vehicle evidence, then re-analyzed with added EDR data (e.g., speed, braking, throttle position, steering input, seat belt status, and time-stamped pre-crash traces). The comparative analysis showed that EDR data confirmed or clarified key sequence-of-events details, reduced reliance on assumptions, and strengthened investigative conclusions. Findings support adopting EDR data, when available, as standard practice in serious crash investigations and highlight its potential to inform vehicle safety improvements, roadway countermeasures, driver training, and policy.
  
  The total size of the ZIP file is 1268 KB.
  
  
• Content Notes:
  This item is made available under the terms of the Creative Commons Attribution 1.0 Universal (CC0 1.0) license https://creativecommons.org/publicdomain/zero/1.0/. Use the following citation: Grasso, Charles, 2025, "Unlocking Forensics Data for Vehicles Involved in Motor Vehicle Crashes", https://doi.org/10.7910/DVN/KZT0OR, Harvard Dataverse, V1
• Format:
  ZIP
• Funding:
  69A355243801
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:9682b97bcc7acc5208b369a88bad221cb6e67308cb320f0fdcf3cf4e8d6650d1f2f714200fcffd4bdbce5e8d4dbe2e401618a23d77bd2ed839b554260d135d6f
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86902/dot_86902_DS1.zip
• File Type:
  [ZIP - 1.24 MB ]