Effect of Drowsiness on Driving Performance Variables of Commercial Vehicle Drivers

This article explores the strategies that can be used to detect drowsiness in commercial vehicle drivers. The authors note that driver drowsiness is the cause of thousands of accidents and numerous fatalities annually. A useful drowsiness-detection system would need to be based on identifying suitable driver-related and/or vehicle-related variables that are correlated to the driver’s level of drowsiness. Vehicle control variables are unobtrusive, easy to implement, and cost effective. The authors focus on analyzing different driver-vehicle control variables, e.g., steering angle, lane keeping, etc. that are correlated with the level of drowsiness. They report on a study in which several commercial drivers were tested in a simulated environment and different variables were recorded. The correlation of the number and type of accidents with the level of drowsiness was also examined. Significant patterns in lateral position variations and steering corrections were observed, and two phases of drowsiness-related degradation in steering control were identified. The authors conclude that these two steering degradation phases identified are suitable features for use in a drowsiness detection system.

  • Availability:
  • Authors:
    • Mortazavi, Ali
    • Eskandarian, Azim
    • Sayed, R A
  • Publication Date: 2009-6

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01173518
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 20 2010 9:13AM