Research on Maximum Driving Time Based on Driving Fatigue Model from Field Experiment

Qi Zhang, Yafen Wang, Chaozhong Wu, Hui Zhang
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引用次数: 1

Abstract

Driving fatigue is a major safety issue in transportation field. Many countries have enacted corresponding laws on driving time, but the duration is fixed. In this study, 19 middle-aged drivers (14 males and 5 females) are recruited to participate in the field experiments, considering the different starting driving time, all the subjects are divided into three groups, start driving in the morning, afternoon and night. Each group completes the same driving route. During all experiments, the reported Karolinska Sleepiness Scale (KSS) of drivers are recorded every 5 minutes by same observer, and the KSSs are converted into consecutive fatigue values by cubic spline interpolation. Eliminating the influence of circadian rhythm and sleep, the driving fatigue prediction models vary only with Driving Time are obtained. Finally, for the drivers who start driving in the morning could only drive 3.36 hours, and drivers can only drive 3.06 hours when they start in the night. The fatigue prediction model could be further used to evaluate the risk period before each driving schedule, and optimize the schedule to avoid fatigue driving and guarantee the transportation safety.
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基于现场试验驾驶疲劳模型的最大驾驶时间研究
驾驶疲劳是交通领域的一个重大安全问题。许多国家都对驾驶时间有相应的法律规定,但驾驶时间是固定的。本研究招募19名中年司机(男14名,女5名)参加现场实验,考虑到开始驾驶时间的不同,将所有受试者分为三组,分别在早上、下午和晚上开始驾驶。每组完成相同的行驶路线。在所有实验中,由同一观察者每5分钟记录一次驾驶员的Karolinska嗜睡量表(KSS),并通过三次样条插值将KSS转换为连续的疲劳值。排除昼夜节律和睡眠的影响,得到仅随驾驶时间变化的驾驶疲劳预测模型。最后,对于早上开始开车的司机只能驾驶3.36小时,晚上开始开车的司机只能驾驶3.06小时。疲劳预测模型可进一步用于评估每个行车计划前的风险期,从而优化行车计划,避免疲劳驾驶,保证行车安全。
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