模拟自动驾驶车辆人工干预过程中的驾驶员体验和安全性:连接性允许的更长时间裕度的影响

Elsa Yousfi, S. Malin, Lynda Halit, Stéphane Roger, Ebru Dogan
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引用次数: 1

摘要

个人自动驾驶汽车的部署是一个持续的过程。然而,自动化系统在随后的一段时间内预计将依赖于人类的控制和合作。因此,必须:(1)仔细设计自动系统与驾驶员之间的交互,(2)确保系统的适当信任和接受。实现这一目标的一种方法是,为司机提供更长的空余时间,让他们准备在应对接管请求时干预驾驶。通过车辆到基础设施(V2I)连接实现的扩展传感和预测可能有助于实现这一目标。本文提出的实验旨在调查V2I在驾驶员和自动驾驶车辆之间互动方面的潜在好处。在这项研究中,在驾驶模拟器上进行,参与者经历两种驾驶场景;一辆是由V2I连接的自动驾驶汽车,另一辆是基本的非连接自动驾驶汽车。每个场景都包含由道路施工区引起的接管请求。与V2I连接的车辆允许预期的接管请求。这些场景旨在比较(1)驾驶员干预的安全性;(2)手动接管过程中驾驶员的经验和精神负荷;(3)对系统的主观评价,以及连接和基本自动驾驶车辆。结果显示,V2I对驾驶员响应接管请求的安全干预质量以及驾驶员在人工干预过程中对系统和体验的主观评价都有积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driver experience and safety during manual intervention in a simulated automated vehicle: Influence of longer time margin allowed by connectivity
Deployment of personal automated vehicles is an on-going process. However, automated systems are expected to rely on human control and cooperation for a consequent amount of time. Thus, it is essential to (1) design carefully the interaction between the automated system and the driver and, (2) ensure proper trust and acceptance of the system. One way to do that is by providing drivers with longer time margins to prepare to intervene in driving in response to a takeover request. Extended sensing and prediction enabled by vehicle-to-infrastructure (V2I) connectivity might help to reach this goal. The experiment presented here aimed at investigating potential benefits of V2I on the interaction between the driver and the automated vehicle. In this study, carried out on a driving simulator, participants experienced two driving scenarios; one with an automated vehicle connected by V2I and one with a basic non-connected automated vehicle. Each scenario encompassed a takeover request caused by a roadwork zone. The vehicle connected with V2I allowed an anticipated takeover request. Those scenarios aimed at comparing (1) the safety of the driver intervention (2) driver's experience and mental workload during manual takeover and, (3) subjective evaluation of the system, with the connected and the basic automated vehicle. Results revealed a positive effect of V2I on the quality of driver's safety intervention in response to a takeover request and on the drivers’ subjective evaluation of the system and experience during the manual intervention.
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