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

机译:在自动车辆接管请求中,骑车人的存在对驾驶员性能的影响

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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:提出的自动驾驶汽车(AV)的一项好处是,它们有潜力缓解由于人为错误或驾驶时决策不当而导致的严重撞车事故。但是,仍然存在与使用SAE 3级AV相关的许多问题,这些问题需要在接管请求(TOR)后由驾驶员进行干预。当将脆弱的道路使用者(例如骑自行车的人)引入驾驶环境时,这些担忧会加剧。这项研究的目的是调查在收到TOR后,在右转弯操作期间,AV的人类驾驶员如何与骑车人互动。通过使用高保真驾驶模拟器来测量驾驶员性能的变化,包括视觉注意力和避免撞车行为,共有43位参与者各自完成了18次右转操作。研究了三个自变量:骑自行车的人到交叉路口的接近度,收到TOR时驾驶员离交叉路口的接近度以及驾驶员参与分散注意力的次要任务(平板电脑上的游戏)。通常,结果表明,次要任务的引入导致驾驶员在撞车时间以及首次在道路上识别骑车人所花费的时间方面性能下降。如果在交叉路口前有更多时间做出反应,驾驶员通常会与骑车人进行更安全的互动。 (C)2019 Elsevier Ltd.保留所有权利。

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