Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 [Research Brief]

Details

• Creators:
  Khattak, Asad J.
• Corporate Creators:
  University of Tennessee, Knoxville ; Collaborative Sciences Center for Road Safety
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Crashes
  • Crash investigation
  • Connected vehicles
  • Intelligent vehicles
  • Driver support systems
  • Event data recorders
  • Law enforcement Accident investigation
  • connected and automated vehicles
  • text analysis
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Brief
• Corporate Publisher:
  Collaborative Sciences Center for Road Safety
• Abstract:
  This report explores the advancement of crash investigation through connected and automated vehicle (AV) data by answering the following research questions: 1. What do AVs tell us when they crash? 2. What are the gaps in AV safety performance? 3. Which crash contributors do AV sensors reveal? 4. What information is missing in crash investigations? 5. How can law enforcement prepare to use AV data? 6. What insights can AV crash narratives provide? The results revealed that AV sensors provide valuable information about vehicle trajectories, which is usually unavailable.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77714/dot_77714_DS1.pdf
• File Type:
  [PDF - 622.68 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:c74d8ac1a00d0606b1d2044d7df07a003c1d6e9cbbae342d1c6e97e1101727a12dbac5c90de13ad253b8d61af79bd41aa242e9edd9a3cb9c0b863eeef45e0aaa