The potential of steering wheel information to detect driver drowsiness and associated lane departure.

Author(s)
Sherman, P.J. Elling, M. & Brekke, M.
Year
Abstract

This report summarizes research to date concerned with identification of drowsy drivers from information contained in steering wheel and lane position data. Data analysed in this report was obtained from a Rockwell-Collins van driven on interstate and state highways in Iowa. Key results in this paper include the following: The type of steering wheel sensor can influence some of the more popular statistics promoted for drowsy driver identification. Weather conditions have a strong influence on the same statistics. Stochastic characterizations of steering wheel and lane position processes appear to have strong similarities. (Author/publisher)

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Publication

Library number
20062113 ST [electronic version only]
Source

Ames, IA, Iowa State University, Center for Transportation Research and Education (CTRE), 1996, 35 p., 15 ref.

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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.