Predicting Drowsy Driver Break Taking During Long Drives

ObjectiveThe current study investigated the factors that predict drowsy drivers' decisions regarding whether to take breaks versus continue driving during long simulator drives.BackgroundDriver drowsiness contributes to substantial numbers of motor vehicle crashes, injuries, and deaths. Previous research has shown that taking a nap and consuming caffeine can temporarily mitigate drowsiness and enable continued safe driving.MethodNinety drivers completed a 150-mile highway drive in a driving simulator after a day of partial sleep restriction. Drivers passed several simulated rest areas where they could take breaks. To replicate drivers' motivation to reach their destination safely but also quickly, drivers were told that they would be paid more for completing the simulated drive faster but would forfeit their payment if they crashed.ResultsBreak taking was predicted by drivers' self-ratings of drowsiness and by the severity of lane departures. However, even at the highest levels of drowsiness, most drivers bypassed simulated rest areas without stopping. In comparing self-rated drowsiness to drowsiness measured by eye closures, drivers often under- and over-estimate their own level of drowsiness.ConclusionDrowsy drivers use their own self-assessed drowsiness when deciding whether to take breaks. These self-assessments are often incorrect, and even when drivers rate themselves as severely drowsy they are unlikely to stop to rest during long drives.ApplicationThe findings reveal the need for effective drowsy driving countermeasures to motivate drivers to stop to take breaks. Results underscore the need to educate and/or motivate drivers to respond sooner to warning signs of drowsiness.

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Publication Details

Journal
Human Factors The Journal of the Human Factors and Ergonomics Society
Published
2024-10-26
DOI
https://doi.org/10.1177/00187208241293707
Citations
1
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.51

Funders

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article

Predicting Drowsy Driver Break Taking During Long Drives

John Gaspar, Brian C. Tefft, William J. Horrey, Cher Carney
1 citations
Human Factors The Journal of the Human Factors and Ergonomics Society
Sleep and Work-Related Fatigue
0.51
article

Predicting Drowsy Driver Break Taking During Long Drives

John Gaspar, Brian C. Tefft, William J. Horrey, Cher Carney
article en
1 citations

Abstract

ObjectiveThe current study investigated the factors that predict drowsy drivers' decisions regarding whether to take breaks versus continue driving during long simulator drives.BackgroundDriver drowsiness contributes to substantial numbers of motor vehicle crashes, injuries, and deaths. Previous research has shown that taking a nap and consuming caffeine can temporarily mitigate drowsiness and enable continued safe driving.MethodNinety drivers completed a 150-mile highway drive in a driving simulator after a day of partial sleep restriction. Drivers passed several simulated rest areas where they could take breaks. To replicate drivers' motivation to reach their destination safely but also quickly, drivers were told that they would be paid more for completing the simulated drive faster but would forfeit their payment if they crashed.ResultsBreak taking was predicted by drivers' self-ratings of drowsiness and by the severity of lane departures. However, even at the highest levels of drowsiness, most drivers bypassed simulated rest areas without stopping. In comparing self-rated drowsiness to drowsiness measured by eye closures, drivers often under- and over-estimate their own level of drowsiness.ConclusionDrowsy drivers use their own self-assessed drowsiness when deciding whether to take breaks. These self-assessments are often incorrect, and even when drivers rate themselves as severely drowsy they are unlikely to stop to rest during long drives.ApplicationThe findings reveal the need for effective drowsy driving countermeasures to motivate drivers to stop to take breaks. Results underscore the need to educate and/or motivate drivers to respond sooner to warning signs of drowsiness.

Human Factors The Journal of the Human Factors and Ergonomics SocietyVol. 67(5)
University of Iowa (US), AAA Foundation for Traffic Safety (US)
AAA Foundation for Traffic Safety
Climate action
Openalex Percentile: Top 29%
Sleep and Work-Related Fatigue
0.51
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