Impacts of sleep deprivation on vigilance, fatigue, and performance during simulated train driving

Theresia, Clara; Iridiastadi, Hardianto; Pratama, Gradiyan Budi

doi:10.1145/3195612.3195625

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…The study by Gregory et al pointed out that fatigue and moderate drinking caused similar damages due to drivers' disengagement from the operating environment [ 51 ]. In a sleep deprivation experiment, lack of sleep caused an increase in fatigue score and affected the operation of the driver, with a 75% increase in the number of driving speed limit violations and a 55% increase in PVT indicators [ 52 ]. In the experimental report of driving distraction simulation, it is shown that with the growth of distraction level, different measures of operator performance decrease proportionally [ 53 ].…”

Section: Consequences Of Train Driver Fatigue and Distractionmentioning

confidence: 99%

Types, Risk Factors, Consequences, and Detection Methods of Train Driver Fatigue and Distraction

Fan

Huang

Lin

et al. 2022

Computational Intelligence and Neuroscience

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Train drivers’ inattention, including fatigue and distraction, impairs their ability to drive and is the major risk factor for human-caused train accidents. Many experts have undertaken numerous studies on train driver exhaustion and distraction, but a systematic study is still missing. Through a systematic review, this work aims to outline the types, risk factors, consequences, and detection methods of train driver fatigue and distraction. The effects of central nervous fatigue and cognitive distraction in train drivers during driving are caused by rest and sleep schedules, workload, automation levels, and mobile phones. Furthermore, train drivers’ fatigue and distraction can cause loss of concentration and slow reaction, resulting in dangerous driving behaviour such as speeding and SPAD. Researchers have combined subjective reporting, physiological parameters, and physical factors to construct detection algorithms with good results to detect train driver fatigue and distraction. This review offers recommendations for researchers looking into train driver fatigue and distraction. And it can also make valuable recommendations for future studies about railway traffic safety.

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Section: Consequences Of Train Driver Fatigue and Distractionmentioning

confidence: 99%