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部分睡眠剥夺对驾驶员在危险情况下制动反应的影响。

Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios.

机构信息

Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Powai, Mumbai 400 076, India.

Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Bombay, Powai, Mumbai 400 076, India.

出版信息

Accid Anal Prev. 2020 Jul;142:105545. doi: 10.1016/j.aap.2020.105545. Epub 2020 May 4.

Abstract

This study aimed at modeling the Response Time (RT) and Total Braking Time (TBT) of drivers under Partial Sleep Deprivation (PSD). Fifty male participants drove the driving simulator in three experimental conditions: two test sessions and a baseline. The two test sessions were conducted after one and two nights of PSD (sleep = 4.25 ± 0.5 h), respectively. Sleep reduction was recorded using a wrist-worn Actiwatch. The baseline session was conducted after full rest (7-8 h sleep/day for a week). The order of test sessions and baseline was randomized. Each test included two hazard events: 1) pedestrians crossing a road and 2) parked vehicles merging into a roadway. Karolinska Sleepiness Scale (KSS) and Sleepiness Symptoms Questionnaire (SSQ) ratings were also recorded during each drive. Four separate models using parametric accelerated failure time (AFT) with Weibull distribution were developed for RT and TBT in the two events. The models were chosen with clustered heterogeneity to account for intra-group heterogeneity due to repeated measures across tests. In the case of pedestrians crossing event, RT increased by 10% in the first test session and no significant effect observed on RT in the second test session. The overall TBT reduced by 25% and 28% during the first and second PSD sessions, respectively. In the case of vehicle merging event, both response time and total braking time delayed by 44% and 17% respectively after PSD. Other factors such as age, experience, work-rest hours, KSS and SSQ rating, often exercising, approaching speed and braking force were also found significant in the analysis. The parametric AFT approach adopted in this study showed the change in 'response time' and 'total braking time' concerning the type of hazard scenario and partial sleep-deprivation.

摘要

本研究旨在建立驾驶员在部分睡眠剥夺(PSD)下的反应时间(RT)和总制动时间(TBT)模型。五十名男性参与者在三种实验条件下驾驶驾驶模拟器:两个测试阶段和一个基线阶段。两个测试阶段分别在经历了一个和两个晚上的 PSD(睡眠=4.25±0.5 小时)后进行。使用腕戴式 Actiwatch 记录睡眠减少情况。基线阶段在完全休息后(每天 7-8 小时睡眠,持续一周)进行。测试阶段和基线阶段的顺序是随机的。每个测试包括两个危险事件:1)行人穿越道路和 2)停驶车辆汇入车道。在每次驾驶过程中,还记录了 Karolinska 嗜睡量表(KSS)和嗜睡症状问卷(SSQ)评分。针对两个事件,使用带有 Weibull 分布的参数加速失效时间(AFT)分别建立了四个单独的模型来预测 RT 和 TBT。由于跨测试的重复测量,模型选择了聚类异质性来考虑组内异质性。就行人穿越事件而言,在第一个测试阶段 RT 增加了 10%,而在第二个测试阶段未观察到 RT 的显著影响。在第一个和第二个 PSD 阶段,整体 TBT 分别减少了 25%和 28%。在车辆汇入事件中,PSD 后 RT 和总制动时间分别延迟了 44%和 17%。在分析中还发现,年龄、经验、工作-休息时间、KSS 和 SSQ 评分、经常运动、接近速度和制动力度等其他因素也很重要。本研究中采用的参数 AFT 方法显示了“反应时间”和“总制动时间”在危险情景类型和部分睡眠剥夺方面的变化。

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