Asleep at the automated wheel-Sleepiness and fatigue during highly automated driving

被引:127
作者
Vogelpohl, Tobias [1 ]
Kuehn, Matthias [2 ]
Hummel, Thomas [2 ]
Vollrath, Mark [1 ]
机构
[1] Tech Univ Carolo Wilhelmina Braunschweig, Gaussstr 23, D-38106 Braunschweig, Germany
[2] Unfallforsch Versicherer, Wilhelmstr 43-43G, D-10117 Berlin, Germany
关键词
Fatigue; Sleep; Automated driving; Transition to manual; Take-over request; DRIVER FATIGUE; PERFORMANCE; DEPRIVATION; ALERTNESS; SITUATIONS; DROWSINESS; ALCOHOL;
D O I
10.1016/j.aap.2018.03.013
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Due to the lack of active involvement in the driving situation and due to monotonous driving environments drivers with automation may be prone to become fatigued faster than manual drivers (e.g. Schomig et al., 2015). However, little is known about the progression of fatigue during automated driving and its effects on the ability to take back manual control after a take-over request. In this driving simulator study with No = o60 drivers we used a three factorial 2o x o2o x o12 mixed design to analyze the progression (12o x o5omin; within subjects) of driver fatigue in drivers with automation compared to manual drivers (between subjects). Driver fatigue was induced as either mainly sleep related or mainly task related fatigue (between subjects). Additionally, we investigated the drivers' reactions to a take-over request in a critical driving scenario to gain insights into the ability of fatigued drivers to regain manual control and situation awareness after automated driving. Drivers in the automated driving condition exhibited facial indicators of fatigue after 15 to 35omin of driving. Manual drivers only showed similar indicators of fatigue if they suffered from a lack of sleep and then only after a longer period of driving (approx. 40omin). Several drivers in the automated condition closed their eyes for extended periods of time. In the driving with automation condition mean automation deactivation times after a take-over request were slower for a certain percentage (about 30%) of the drivers with a lack of sleep (Mo = o3.2; SDo = o2.1os) compared to the reaction times after a long drive (Mo = o2.4; SDo = o0.9os). Drivers with automation also took longer than manual drivers to first glance at the speed display after a take-over request and were more likely to stay behind a braking lead vehicle instead of overtaking it. Drivers are unable to stay alert during extended periods of automated driving without non-driving related tasks. Fatigued drivers could pose a serious hazard in complex take-over situations where situation awareness is required to prepare for threats. Driver fatigue monitoring or controllable distraction through non-driving tasks could be necessary to ensure alertness and availability during highly automated driving.
引用
收藏
页码:70 / 84
页数:15
相关论文
共 72 条
[1]   SUBJECTIVE AND OBJECTIVE SLEEPINESS IN THE ACTIVE INDIVIDUAL [J].
AKERSTEDT, T ;
GILLBERG, M .
INTERNATIONAL JOURNAL OF NEUROSCIENCE, 1990, 52 (1-2) :29-37
[2]   Impaired alertness and performance driving home from the night shift:: a driving simulator study [J].
Åkerstedt, T ;
Peters, B ;
Anund, A ;
Kecklund, G .
JOURNAL OF SLEEP RESEARCH, 2005, 14 (01) :17-20
[3]  
[Anonymous], 2013, 6 TAG FAHR WEG ZUM A
[4]  
[Anonymous], THESIS
[5]  
[Anonymous], 2018, Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles
[6]  
[Anonymous], 2002, TRANSP RES F TRAFFIC, DOI [DOI 10.1016/S1369-8478(02)00011-6.11J, 10.1016/S1369-8478(02)00011-6, DOI 10.1016/S1369-8478(02)00011-6]
[7]  
[Anonymous], 2006, 100 CAR NATURALISTIC
[8]  
Briest S., 2006, Vision in Vehicles XI, P89
[9]   DRIVER FATIGUE [J].
BROWN, ID .
HUMAN FACTORS, 1994, 36 (02) :298-314
[10]  
Camkin H., 1990, WORKSH DRIV FAT REP