Frequency of rear-end collision warnings based on field operational test driving data.

Author(s)
Glassco, R.A. Burgett, A. & Chande, A.
Year
Abstract

This paper reports the results of a study using braking event data recorded from manual driving situations to evaluate the performance of a collision avoidance warning algorithm, i.e., the proportion of times a collision-avoidance alarm would have sounded before typical braking incidents during normal driving. The everyday driving data were collected for the National Highway Traffic Safety Administration (NHTSA) as part of a field operational test (FOT) of an Intelligent Cruise Control system conducted by the University of Michigan Transportation Research Institute (UMTRI). Using a NHTSA warning-time algorithm, the study determined the number of times the warning alarm would have sounded before the driver applied the brakes, had it been installed, for each of the 108 drivers in the FOT. This paper presents the number of such alarms grouped by driver age, gender, and driving style, and draws conclusions about the collision avoidance warning logic. (A*)

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Publication

Library number
C 19557 (In: C 19519 CD-ROM) /73 /91 / ITRD E110365
Source

In: ITS: smarter, smoother, safer, sooner : proceedings of 6th World Congress on Intelligent Transport Systems (ITS), held Toronto, Canada, November 8-12, 1999, Pp-

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.