Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University, Changsha, China.
Joint International Research Laboratory of Key Technology for Rail Traffic Safety, Central South University, Changsha, China.
Comput Intell Neurosci. 2022 Mar 24;2022:8328077. doi: 10.1155/2022/8328077. eCollection 2022.
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.
驾驶员注意力不集中,包括疲劳和分神,会损害他们的驾驶能力,是人为造成火车事故的主要风险因素。许多专家对驾驶员疲劳和分神进行了大量研究,但仍缺乏系统研究。本研究通过系统回顾,旨在概述驾驶员疲劳和分神的类型、风险因素、后果和检测方法。在驾驶过程中,中枢神经疲劳和认知分神会对驾驶员的休息和睡眠计划、工作量、自动化程度和手机使用产生影响。此外,驾驶员的疲劳和分神会导致注意力不集中和反应迟钝,从而导致危险的驾驶行为,如超速和 SPAD。研究人员结合主观报告、生理参数和物理因素,构建了检测算法,取得了良好的效果,可用于检测驾驶员的疲劳和分神。本综述为研究驾驶员疲劳和分神的研究人员提供了建议,也为未来铁路交通安全研究提供了有价值的建议。