CRASH PROBLEM CHARACTERISTICS FOR THE INTELLIGENT VEHICLE INITIATIVE

The Volpe Center has been providing technical support to the Federal Highway Administration of the U.S. Department of Transportation (DOT) under the Intelligent Vehicle Initiative (IVI) program. As part of this effort, a comprehensive study of highway vehicle run-off-road crashes, rear-end collisions, lane change collisions, and intersection/crossing path collisions has been completed for the following four vehicle platforms: light, commercial, transit, and specialty vehicles. This is the first study in which detailed statistical descriptions of the major crash types have been provided for each of the four vehicle platforms as defined in the IVI. The study provides a better understanding of crash avoidance opportunities using intelligent vehicle safety systems

• Supplemental Notes:
  • Publication Date: 2001 Transportation Research Board, Washington DC Remarks: Paper 01-2471 prepared for presentation at the 80th annual meeting of the Transportation Research Board, Washington, D.C., January 2001
• Corporate Authors:

  University of Toronto

  Department of Civil Engineering, 35 St George Street
  Toronto, Ontario  Canada  M5S 1A4

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  California Department of Transportation

  1120 N Street
  Sacramento, CA  United States  95814

  University of Toronto

  Intelligent Transportation Systems Center
  Toronto, Ontario  Canada 

  Natural Sciences and Engineering Research Council Canada

  ,    

  University of Iowa, Iowa City

  102 Church Street
  Iowa City, IA  United States  52242

  National Highway Traffic Safety Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  PTV AG

  ,    
• Authors:
  • Barr, Lawrence
  • Najm, Wassim
• Conference:
  • Transportation Research Board 80th Annual Meeting
  • Location: Washington D.C.
  • Date: 2001-1-7 to 2001-1-11
• Date: 2001

Language

• English

Media Info

• Pagination: 30 p.

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Crashes; Vehicle dynamics
• Identifier Terms: Intelligent Vehicle Initiative
• Subject Areas: Safety and Human Factors;

Filing Info

• Accession Number: 00806560
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, USDOT, STATEDOT
• Created Date: Mar 13 2001 12:00AM