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危险的交叉口?自动驾驶车辆中疲劳和分神研究综述。

Dangerous intersections? A review of studies of fatigue and distraction in the automated vehicle.

机构信息

Institute for Simulation and Training, University of Central Florida, 3100 Technology Pkwy, Orlando, FL, 32826, United States.

University of Southern California, United States.

出版信息

Accid Anal Prev. 2019 May;126:85-94. doi: 10.1016/j.aap.2018.04.004. Epub 2018 Apr 10.

Abstract

The impacts of fatigue on the vehicle driver may change with technological advancements including automation and the increasing prevalence of potentially distracting in-car systems. This article reviews the authors' simulation studies of how fatigue, automation, and distraction may intersect as threats to safety. Distinguishing between states of active and passive fatigue supports understanding of fatigue and the development of countermeasures. Active fatigue is a stress-like state driven by overload of cognitive capabilities. Passive fatigue is produced by underload and monotony, and is associated with loss of task engagement and alertness. Our studies show that automated driving reliably elicits subjective symptoms of passive fatigue and also loss of alertness that persists following manual takeover. Passive fatigue also impairs attention and automation use in operators of Remotely Piloted Vehicles (RPVs). Use of in-vehicle media has been proposed as a countermeasure to fatigue, but such media may also be distracting. Studies tested whether various forms of phone-based media interacted with automation-induced fatigue, but effects were complex and dependent on task configuration. Selection of fatigue countermeasures should be guided by an understanding of the form of fatigue confronting the operator. System design, regulation of level of automation, managing distraction, and selection of fatigue-resilient personnel are all possible interventions for passive fatigue, but careful evaluation of interventions is necessary prior to deployment.

摘要

疲劳对驾驶员的影响可能会随着技术的进步而发生变化,包括自动化和潜在分心的车内系统的日益普及。本文综述了作者关于疲劳、自动化和分心如何相互交叉成为安全威胁的模拟研究。区分主动疲劳和被动疲劳的状态有助于理解疲劳和制定对策。主动疲劳是一种由认知能力过载引起的应激状态。被动疲劳是由低负荷和单调引起的,与任务参与度和警觉性丧失有关。我们的研究表明,自动化驾驶可靠地引起被动疲劳的主观症状,并且在手动接管后仍然会出现警觉性丧失。被动疲劳也会影响远程驾驶车辆(RPV)操作人员的注意力和自动化使用。有人提议使用车内媒体作为对抗疲劳的一种措施,但此类媒体也可能分散注意力。研究测试了各种形式的基于电话的媒体与自动化引起的疲劳之间的相互作用,但影响是复杂的,取决于任务配置。选择疲劳对策应根据操作人员面临的疲劳形式来指导。系统设计、自动化水平的管理、分散注意力的管理以及选择抗疲劳的人员,这些都是对抗被动疲劳的可能干预措施,但在部署之前需要对干预措施进行仔细评估。

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