COLLISION AVOIDANCE WARNINGS APPROACHING STOPPED OR STOPPING VEHICLES

This paper describes a study performed for the U.S. Department of Transportation (USDOT) Intelligent Vehicle Initiative (IVI) to predict the potential performance of a Rear-End Collision Avoidance System (RECAS). The study used data from an on-road driving experiment conducted by the National Highway Traffic Safety Administration (NHTSA) that gathered data on naturalistic driver behavior behind a stopping or stopped vehicle. The study used the range, speed, and leader deceleration data to simulate the calculations of a RECAS warning algorithm every 1/30 second, and calculated the proportion of stopping events that would have triggered a warning alarm if a RECAS had been installed in the following vehicle. The results could be valuable to RECAS designers striving to maximize system effectiveness while minimizing "false alarms."

• Supplemental Notes:
  • Full conference proceedings available on CD-ROM.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Glassco, R A
  • Cohen, D S
• Conference:
  • 8th World Congress on Intelligent Transport Systems
  • Location: Sydney, Australia
  • Date: 2001-9-30 to 2001-10-4
• Publication Date: 2001

Language

• English

Media Info

• Features: Figures; References;
• Pagination: 8p

Subject/Index Terms

• TRT Terms: Behavior; Crash avoidance systems; Deceleration; Drivers; Driving simulators; Highway safety; Intelligent transportation systems; Intelligent vehicles; Rear end crashes; Speed; Stopping; Traffic safety; Vehicle range; Warning systems
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 00972499
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 20 2004 12:00AM