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Influence of bicyclist presence on driver performance during automated vehicle take-over requests

机译:自行车运动在自动化车辆接管要求期间对驾驶员性能的影响

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摘要

One proposed benefit of automated vehicles (AVs) is their potential to mitigate the occurrence of serious crashes due to human error or poor decision making while driving. However, there are still many concerns associated with the use of SAE Level 3 AVs, which require intervention by a human driver after a take-over request (TOR). These concerns intensify when vulnerable road users, such as bicyclists, are introduced to the driving environment. The objective of this research was to investigate how human drivers of AVs interact with bicyclists during a right-turn maneuver after receiving a TOR. Changes in driver performance, including visual attention and crash avoidance behavior, were measured by using a high-fidelity driving simulator, with 43 participants each completing 18 right-turn maneuvers. Three independent variables were studied: the bicyclist's proximity to the intersection, the driver's proximity from the intersection when the TOR was received, and the driver's engagement in a distracting secondary task (a game on a tablet). In general, the results showed that the introduction of the secondary task led to decreased driver performance with respect to time-to-collision and the time that it took a driver to first identify the bicyclist on the roadway. When given more time to react before the intersection, drivers generally had safer interactions with the bicyclist. (C) 2019 Elsevier Ltd. All rights reserved.
机译:自动车辆(AVS)的一个拟议福利是他们在驾驶时由于人为错误或差的决策而减轻严重碰撞的可能性。然而,仍有许多问题与使用SAE等级3 AVS相关的问题,这需要在接收请求(TOR)之后的人司机进行干预。当易受伤害的道路使用者(如骑自行车者)引入驾驶环境时,这些问题会加剧。本研究的目的是调查AVS的人类驱动因素在收到TOR后的右转机动期间如何与骑自行车的人交互。通过使用高保真驾驶模拟器测量驾驶员性能的变化,包括视觉注意力和碰撞行为,每个参与者都完成了43名参与者,每个参与者完成18右转操纵。研究了三个独立变量:自行车司机对交叉口的靠近,驾驶员在收到Tor时交叉口的靠近,以及驾驶员在分散注意力的二级任务中的参与(平板电脑上的比赛)。一般来说,结果表明,引入二次任务导致驾驶员性能降低,相对于碰撞,驾驶员首先识别道路上的自行车司机的时间。当给出更多时间在交叉路口进行反应时,司机通常与骑自行车的人进行更安全的相互作用。 (c)2019 Elsevier Ltd.保留所有权利。

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