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."
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Supplemental Notes:
- Full conference proceedings available on CD-ROM.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Glassco, R A
- Cohen, D S
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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