EFFICIENCY OF VEHICLE-BASED DATA TO PREDICT LANE DEPARTURE ARISING FROM LOSS OF ALERTNESS DUE TO FATIGUE

Seventeen long haul truck drivers were recruited to participate in a driver fatigue study. The study was conducted to determine if a degradation in driver performance could be detected from controlled inputs of drowsy drivers. A test protocol was developed to replicate the kind of driving environment generally regarded and often associated with single vehicle run-off-the-road type crashes. Physiological measures of drowsiness were recorded while a fully instrumented 3-axle truck-tractor was driven on a closed-circuit track. Driving sessions were conducted when test subjects were both alert and sleep deprived. Analysis and refinement of experimental data were used to develop a preliminary steering-based algorithm. The results of the study indicate that lane departure, arising from a loss of alertness due to fatigue, may be predicted by monitoring movements of the steering wheel. (A) For the covering abstract of the conference see IRRD 893891.

• Corporate Authors:

  ASSOCIATION FOR THE ADVANCEMENT OF AUTOMOTIVE MEDICINE (AAAM)

  2350 EAST DEVON AVENUE, SUITE 205
  DES PLAINES,   United States  60018
• Authors:
  • Filiatrault, D D
  • Cooper, P J
  • KING, D J
  • Siegmund, G P
  • WONG, PKH
• Conference:
  • PROCEEDINGS OF THE 40TH ANNUAL CONFERENCE OF THE ASSOCIATION FOR THE ADVANCEMENT OF AUTOMOTIVE MEDICINE, VANCOUVER, BRITISH COLUMBIA, CANADA, OCTOBER 7-9, 1996
• Publication Date: 1996

Language

• English

Media Info

• Features: References;
• Pagination: p. 363-76

Subject/Index Terms

• TRT Terms: Alertness; Conferences; Drivers; Driving; Evaluation and assessment; Forecasting; Handling characteristics; Night; Physiological fatigue; Physiology; Steering wheels; Test procedures; Traffic lanes; Trucks; Warning systems
• ITRD Terms: 2238: Attention; 8525: Conference; 1772: Driver; 1855: Driving (veh); 9020: Evaluation (assessment); 2222: Fatigue (human); 132: Forecast; 1236: Lorry; 9052: Night; 2062: Physiology; 1307: Steering wheel; 6288: Test method; 2827: Traffic lane; 1646: Vehicle handling; 9113: Warning
• Subject Areas: Data and Information Technology; Motor Carriers; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 00746013
• Record Type: Publication
• Source Agency: Institute for Road Safety Research, SWOV
• Files: ITRD, ATRI
• Created Date: Mar 24 1998 12:00AM