THE POTENTIAL OF STEERING WHEEL INFORMATION TO DETECT DRIVER DROWSINESS AND ASSOCIATED LANE DEPARTURE

This report summarizes research to date concerned with identification of drowsy drivers from information contained in steering wheel and lane position data. Data analyzed 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.

• Corporate Authors:

  Midwest Transportation Center

  Iowa State University, 2625 N. Loop Drive, Suite 2100
  Ames, IA  United States  50010
• Authors:
  • Sherman, P J
  • Elling, M
  • Brekke, M
• Publication Date: 1996-9

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: 39 p.

Subject/Index Terms

• TRT Terms: Detection and identification; Detectors; Drivers; Drowsiness; Information management; Information, data, and knowledge; Sensors; Statistics; Steering wheels; Stochastic processes; Weather conditions
• Uncontrolled Terms: Lane departures
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 00742301
• Record Type: Publication
• Report/Paper Numbers: Final Report
• Files: TRIS
• Created Date: Nov 4 1997 12:00AM