Assessing Driver Fatigue as a Factor in Road Accidents | Zendy

William Sirois | Zendy; Todd Dawson | Zendy; Martin C. MooreEde | Zendy; Acacia Aguirre | Zendy; U. Trutschel | Zendy

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Assessing Driver Fatigue as a Factor in Road Accidents

Author(s) -

William Sirois,

Todd Dawson,

Martin C. MooreEde,

Acacia Aguirre,

U. Trutschel

Publication year - 2007

Language(s) - English

Resource type - Conference proceedings

DOI - 10.17077/drivingassessment.1287

Subject(s) - falling (accident) , bridge (graph theory) , poison control , human factors and ergonomics , injury prevention , computer science , occupational safety and health , applied psychology , forensic engineering , computer security , engineering , psychology , medical emergency , medicine , psychiatry , pathology

Fatigue is one of the most pervasive yet under-investigated causes of human-error-related driving accidents, incidents, and injuries. Several studies suggest that 25-30% of driving accidents are fatigue related (Horne et al., 1995). However, government reports estimate that only 1-4% of crashes may be attributable to the driver falling asleep or being drowsy, based largely on data derived from police reports recorded at these accidents (Cummings et al., 2001). The reason for this wide disparity is that there is no simple tool or objective way for investigators to collect the (right) data needed to correlate accidents with fatigue. To bridge this gap, a diagnostic survey instrument was developed, along with a weighted risk model based on Fuzzy Scalable Monotonic Chaining (FSMC), to help investigators readily determine (by standardized criteria and with high probability) the role of fatigue as a causal factor in driving accidents.

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