Predicting performance and safety based on driver fatigue

Accident; analysis and prevention

Volumn 126, Issue , 2019, Pages 142-145

  Mollicone, Daniel ^a   Kan, Kevin ^a   Mott, Chris ^a   Bartels, Rachel ^a   Bruneau, Steve ^a   van Wollen, Matthew ^a   Sparrow, Amy R ^b   Van Dongen, Hans P A ^b  

^a Pulsar Informatics Inc   (United States)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Biomathematical fatigue model; Circadian rhythm; Drowsy driving; Fatigue risk management; Hard braking events; Sleep loss

Indexed keywords

ADULT; ATTENTION; CAR DRIVING; FATIGUE; FEMALE; HUMAN; MALE; MIDDLE AGED; MOTOR VEHICLE; PHYSIOLOGY; PREVENTION AND CONTROL; REACTION TIME; RISK ASSESSMENT; SLEEP; TRAFFIC ACCIDENT; WAKEFULNESS;

ACCIDENTS, TRAFFIC; ADULT; ATTENTION; AUTOMOBILE DRIVING; FATIGUE; FEMALE; HUMANS; MALE; MIDDLE AGED; MOTOR VEHICLES; REACTION TIME; RISK ASSESSMENT; SLEEP; WAKEFULNESS;

EID: 85065111354     PISSN: None     EISSN: 18792057     Source Type: Journal    
DOI: 10.1016/j.aap.2018.03.004     Document Type: Article

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