Abstract
Driver drowsiness contributes to substantial numbers of motor vehicle crashes, injuries, and deaths. Previ-ous research has shown that taking a nap and consuming caffeine can temporarily mitigate drowsiness and enable continued safe driving. The current study sought to investigate what factors influenced drowsy drivers’ decisions regarding whether to take breaks versus continue driving. Ninety drivers completed a 150-mile highway drive in a driving simulator, beginning at 11pm or 2:30am, after a day of partial sleep restriction. Drivers were given the opportunity to stop, rest, and obtain caffeinated beverages at simulated rest areas throughout the drive. 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. Self-reported subjective drowsiness was significantly associated with break-taking decisions for breaks that were attributed to drowsiness; however, even at the highest levels of drowsiness, most drivers bypassed simulated rest areas without stopping. Results underscore the need to educate and/or motivate drivers to respond sooner to warning signs of drowsiness.
Keywords
Studies have estimated that driver drowsiness is a factor in as many as 6-10% of all crashes and as many as 15-21% of fatal crashes (Masten et al., 2006; Owens et al., 2018; Tefft, 2014). Considering the prevalence of crashes, injuries, and deaths associated with drowsy driving, the proven effectiveness of napping and caffeine to mitigate drowsiness, and the lack of evidence of effectiveness of most other driver/behavioral countermeasures, it is important to understand the factors associated with drowsy drivers’ decisions regarding when to stop driving and consume caffeine or take a nap. This study examined drivers’ break-taking decisions in relation to the evolution of their drowsiness over long simulated nighttime drive
Method
Participants (N=90, M = 31.4 yrs, SD = 10.3) were recruited and completed the simulated nighttime drive in a miniSim fixed-base driving simulator. The simulated drive consisted of 150 miles of driving on an Interstate highway in dark nighttime conditions. The simulated drive included 7 identical rest areas spaced approximately 20 miles apart. Participants were told that they had the option to stop at rest areas during the drive but were not told of their locations or spacing. Upon exiting the simulator, participants could take a nap in a private room with a comfortable chair, use the restroom, walk around, step outside, and/or consume coffee (8 oz) or another caffeinated beverage. A monetary incentive was employed to attempt to replicate the motivational tradeoffs associated with driving while drowsy, i.e., to reach one’s destination safely but also quickly.
The main dependent variable was stopping at a simulated rest stop during the drive. Activities that participants performed during breaks were also recorded. A break was considered to have been motivated at least in part by drowsiness (hereafter drowsy break) if the participant self-reported drowsiness, sleepiness, fatigue, or similar as a reason for their break, or if they were observed napping or obtaining a caffeinated beverage. Independent variables included subjective and objective drowsiness and measures of time and driving performance. Subjective drowsiness was assessed using the Karolinska Sleepiness Scale (KSS) (Åkerstedt & Gillberg, 1990). Objective drowsiness was assessed using a modified PERCLOS that quantified the percentage of time that participants’ eyelids were fully closed, coded by trained research assistants. Other independent variables included standard deviation of lane position, total elapsed time since the beginning of the drive, time driving since last break, number of breaks, and rest area number.
Results
51% of drivers took at least one break. The timing of the first break ranged from 22-135 minutes into the drive. On average, the first break occurred a little over an hour into the drive (77min), although there was a cluster of breaks that occurred about 100 minutes into the drive. For drivers who took a second break, on average that break occurred 44 minutes after the first break and approximately 100 minutes into the total drive. A logistic regression model predicting drowsy break taking with the independent measures was statistically significant. KSS score was the only predictor variable significantly associated with an increase in the likelihood of taking a drowsy break. No other predictor variables, including both PERCLOS and SDLP measures, had a significant association with the likelihood of taking a drowsy break.
Discussion
Drowsy breaks were predicted by drivers’ self-ratings of drowsiness, measured by the KSS. KSS ratings were the only dependent measure that was a significant predictor of break-taking behavior. This finding suggests that, at least in the context of the incentive structure in this study, drowsy drivers rely on self-perceptions of their drowsiness when deciding whether to take a break or not. This is in line with the finding that KSS ratings were somewhat poorly calibrated with objective PERCLOS measurements (Gaspar & Carney, 2023). It is important to note that most drivers chose to continue driving despite rating themselves as drowsy. Even at the highest KSS rating (9), more than 75% of the time participants decided to continue driving rather than taking a break. Results underscore the need to educate and/or motivate drivers to respond sooner to warning signs of drowsiness.
Footnotes
Acknowledgements
This research was funded by the AAA Foundation for Traffic Safety.
