Shen Sijun, Neyens David M
Department of Industrial Engineering, Clemson University, Clemson, SC 29630, USA.
Department of Industrial Engineering, Clemson University, Clemson, SC 29630, USA.
J Safety Res. 2017 Jun;61:149-155. doi: 10.1016/j.jsr.2017.02.009. Epub 2017 Mar 1.
With the increase in automated driver support systems, drivers are shifting from operating their vehicles to supervising their automation. As a result, it is important to understand how drivers interact with these automated systems and evaluate their effect on driver responses to safety critical events. This study aimed to identify how drivers responded when experiencing a safety critical event in automated vehicles while also engaged in non-driving tasks.
In total 48 participants were included in this driving simulator study with two levels of automated driving: (a) driving with no automation and (b) driving with adaptive cruise control (ACC) and lane keeping (LK) systems engaged; and also two levels of a non-driving task (a) watching a movie or (b) no non-driving task. In addition to driving performance measures, non-driving task performance and the mean glance duration for the non-driving task were compared between the two levels of automated driving.
Drivers using the automated systems responded worse than those manually driving in terms of reaction time, lane departure duration, and maximum steering wheel angle to an induced lane departure event. These results also found that non-driving tasks further impaired driver responses to a safety critical event in the automated system condition.
In the automated driving condition, driver responses to the safety critical events were slower, especially when engaged in a non-driving task.
Traditional driver performance variables may not necessarily effectively and accurately evaluate driver responses to events when supervising autonomous vehicle systems. Thus, it is important to develop and use appropriate variables to quantify drivers' performance under these conditions.
随着自动驾驶辅助系统的增加,驾驶员正从操作车辆转向监督自动化系统。因此,了解驾驶员如何与这些自动化系统交互并评估其对驾驶员对安全关键事件的反应的影响非常重要。本研究旨在确定驾驶员在自动驾驶车辆中经历安全关键事件且同时从事非驾驶任务时的反应方式。
本驾驶模拟器研究共纳入48名参与者,设置了两个自动驾驶级别:(a)无自动化驾驶;(b)启用自适应巡航控制(ACC)和车道保持(LK)系统驾驶;还设置了两个非驾驶任务级别:(a)观看电影;(b)无非驾驶任务。除了驾驶性能指标外,还比较了两个自动驾驶级别之间的非驾驶任务性能以及非驾驶任务的平均注视持续时间。
在对诱发的车道偏离事件的反应时间、车道偏离持续时间和最大方向盘角度方面,使用自动化系统的驾驶员比手动驾驶的驾驶员反应更差。这些结果还发现,非驾驶任务在自动化系统条件下进一步损害了驾驶员对安全关键事件的反应。
在自动驾驶条件下,驾驶员对安全关键事件的反应较慢,尤其是在从事非驾驶任务时。
在监督自动驾驶车辆系统时,传统的驾驶员性能变量不一定能有效且准确地评估驾驶员对事件的反应。因此,开发和使用适当的变量来量化这些条件下驾驶员的性能非常重要。