Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion [Research Brief]

Details

• Creators:
  Miles, James ; Strybel, Thomas
• Corporate Creators:
  Pacific Southwest Region 9 UTC, University of Southern California ; California State University, Long Beach
• 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:
  • Autonomous vehicle handover
  • Autonomous vehicles
  • Data collection
  • Driver performance
  • Drivers
  • Driving
  • Driving simulators
  • Traffic safety
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Brief
• Corporate Publisher:
  Pacific Southwest Region 9 UTC, University of Southern California
• Abstract:
  Over the next several decades, highly automated driving systems (HADS) will become increasingly common on our roads, greatly reducing traffic accidents and road congestion. However, for the foreseeable future, the human driver will be required to take control of a car when automation fails. Although the benefits to HADS implementation can be substantial, human driver monitoring of and take-over from HADS can create new sources of human error and must be considered when predicting future automotive accident rates and related traffic congestion.
• Format:
  PDF
• Funding:
  69A3551747109 Caltrans Grant 65A0674,
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/68070/dot_68070_DS1.pdf
• File Type:
  [PDF - 484.99 KB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:ef419c50206dc12656c6f1f13a44843c3bb6914072b902c5bb2dbd1fdf2f884625588544d3c3d9023422a442b299c92ddaca807881c853774f94065efa970e9c