In-vehicle Drowsy Driving Detection and Alerting
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2023-05-01
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Edition:Final Report
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Abstract:Drowsy driving is a common phenomenon that increases the risk for fatal and injurious crashes. Technological innovations in the form of driver monitoring and notification systems may offer potential to reduce crashes due to drowsy driving. These systems monitor the driver’s drowsy driving state and issue alerts when the driver is classified by the system as drowsy. Research shows that driver notification can be effective in improving performance over relatively short drives. However, the efficacy of such systems for improving performance and changing drowsy driver decision making over longer drives is unknown. The goal of this project was to evaluate the efficacy of two notifications, a lane departure warning (LDW) and a drowsiness notification with LDW (DN/LDW). The notification conditions were compared against a no-notification baseline during 4-hour overnight drives in a high-fidelity driving simulator with an incentive method designed to replicate the motivational tradeoffs common to drowsy driving, i.e., the desire to reach a destination versus one’s own safety while driving drowsy. The combined DN/LDW, but not the LDW, was effective in reducing the frequency of lane departures and also in reducing the percentage of eyelid closure (PERCLOS) prior to lane departure events compared to baseline. There was no difference between the notification conditions and baseline with respect to the frequency or timing of breaks to rest, suggesting that although notifications improved driving performance, they did not alter decision making. These results suggest that notifications may aid drowsy drivers, but in-vehicle alerts may not be effective in changing the way drowsy drivers make decisions about whether and when to stop to rest.
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