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Title: ATTENTION-BASED MODEL OF DRIVER PERFORMANCE IN REAR-END COLLISIONS
Accession Number: 00803779
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Several driver-performance factors contribute to rear-end collisions--driver inattention, perception-reaction time, and limitations of the human visual system. Although many evaluations have examined driver response to various rear-end collision avoidance systems (RECAS) display and algorithm alternatives, little research has been directed at creating a quantitative model of driver performance to evaluate these alternatives. Current considerations of driver behavior in developing warning algorithms tend to ignore the fundamental problem of driver inattention and assume a fixed driver reaction time with no further adjustment after the initial response. A more refined model of driver response to rear-end crash scenarios can identify more appropriate and timely information to be displayed to the driver. An attention-based rear-end collision avoidance model (ARCAM) is introduced that describes the driver's attention distribution, information extraction and judgment process, and the reaction process. ARCAM predicts the closed-loop nature of collision response performance and explains how the driver might use RECAS warnings.
Supplemental Notes: This paper appears in Transportation Research Record No. 1724, Human Performance: Driver Behavior, Road Design, and Intelligent Transportation Systems.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Brown, T LLee, J DMCGEHEE, D VPagination: p. 14-20
Publication Date: 2000
Serial: ISBN: 0309067278
Features: Figures
(3)
; References
(29)
TRT Terms: Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor
Files: TRIS, TRB, ATRI
Created Date: Dec 1 2001 12:00AM
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