Crash Avoidance Technology Evaluation Using Real-World Crash Data

Details

• Creators:
  Flannagan, Carol A. ; Leslie, Andrew
• Corporate Creators:
  University of Michigan. Transportation Research Institute
• Corporate Contributors:
  United States. Department of Transportation. National Highway Traffic Safety Administration
• Subject/TRT Terms:
  • Crash avoidance systems
  • Technology
  • Crash data
  • Crash analysis
  • Crash characteristics
  • Safety
  • Crashes
  • Safety equipment
• Publication/ Report Number:
  DOT HS 812 841
• DOI:
  https://doi.org/10.21949/1530187
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  United States. Department of Transportation. National Highway Traffic Safety Administration
• Abstract:
  This study used data on primarily optional safety content from 1.2 million General Motors (GM) vehicles linked to State police-reported crash data by Vehicle Identification Number to estimate field performance of a variety of new safety technologies. After linkage, there were 35,401 vehicles in our analysis dataset. This data included both an indication (presence/absence) of certain types of safety equipment on each vehicle, as well as a variety of crash descriptors at the crash, vehicle, and driver levels. Available covariates were also used to attempt to control for variables that might influence system-relevant crash involvement for the systems examined, including driver age and gender, speed limit, alcohol/drug presence, fatigue, weather, road surface condition, vehicle type, and vehicle model.
• Format:
  PDF
• Funding:
  DTHN2216R00075 ; Vehicle Electronics Systems Safety IDIQ
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/44159/dot_44159_DS1.pdf
• File Type:
  [PDF - 736.08 KB]
• Collection(s):
  NHTSA - Vehicle Safety Research
• Main Document Checksum:
  urn:sha-512:cdd25ab6465fe673d603be60e3895d42f96580f2834ca31d2995bf10635ffec2b009809031cd0bc479b4d1d9e13d7d7854437f4449933bbf878fc190a3efb75c