Collision avoidance warnings approaching stopped or stopping vehicles.

Author(s)
Glassco, R.A. & Cohen, D.S.
Year
Abstract

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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Publication

Library number
C 33866 (In: C 26095 CD-ROM) /91 / ITRD E831239
Source

In: ITS - Transforming the future : proceedings of the 8th World Congress on Intelligent Transportation Systems ITS, Sydney, Australia, 30 September - 4 October 2001, 8 p.

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