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The Automation Effect: Investigating Factors that Influence the Driver Response Process in a Safety-Relevant Event During Assisted Driving and After Unsupervised Automation

机译:自动化效应:研究在辅助驾驶期间和无监督自动化之后的安全相关事件中影响驾驶员响应过程的因素

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摘要

Introduction: Safe vehicle automation can be achieved through a detailed understanding of drivers' ability to respond to a safety-relevant event after a period of automated driving. For instance, there is a need to understand in which scenarios automation effects are present (e.g. delayed response, degraded driving performance, crashing). Further, there is a need to identify specific factors (e.g. test environment, system-prompts, hands-on-wheel requirement, automation duration) that contribute to or prevent these automation effects. Objectives: The aim of this thesis is to investigate factors that influence: (a) automation effects in a non-prompted (i.e. absence of warning/notification) safety-relevant event during assisted driving and (b) automation aftereffects (i.e. automation effects specifically occurring after automation has been deactivated) in a prompted safety-relevant event during unsupervised automation. Method: Two Wizard-of-Oz test-track experiments were performed in order to investigate the driver response process in safety-relevant events. In experiment 1, the drivers were required to supervise (with or without a hands-on-wheel requirement) an assisted driving system, and then respond to a safety-relevant event that was not prompted by the system. In experiment 2, the drivers drove manually (baseline) and with an unsupervised automation system (a short and a long duration) before encountering a safety-relevant event. The automation system prompted (issued a take-over request) the driver to resume manual driving shortly before the safety-relevant event became visible. Results: In experiment 1, one third of the drivers responded late, or did not act at all, and crashed in the non-prompted safety-relevant event. In fact, the drivers crashed to the same extent and responded similarly independent of if they supervised the assisted driving system with or without hands on the wheel. In experiment 2, all drivers resumed manual control and did not collide in the safety-relevant event, both after a short and a long automation duration. All drivers showed a similar response and driving performance in the safety-relevant event for both long and short automation duration as well as in the manual baseline. Discussion: A hands-on-wheel requirement was not found to prevent late response or crashing in a non-prompted safety-relevant event encountered during assisted driving. More work is needed to understand the potential safety-benefits of a hands-on-wheel requirement in other types of conflicts and for driver distractions. The finding of minor automation aftereffects in experiment 2 contrasts to previous driving simulator studies. The reason may be the different test environments but is more likely due to different timings for prompting the drivers to resume manual control in relation to when the safety-relevant event became visible. Conclusions: Safe vehicle automation, including both assisted and unsupervised automation, can be achieved in a realistic environment (test track) for most drivers. However, assisted driving in combination with a non-prompted safety-relevant event, can be detrimental for safety, since some drivers may not understand the need to respond to avoid a crash. In fact, a hands-on-wheel requirement did not result in earlier steering responses nor did it prevent drivers from crashing. Thus, more work is needed to understand how to make sure drivers understand the need to respond in non-prompted safety-relevant events during assisted driving. In fact, it seems that when automation has matured to a level when it can prompt the drivers (i.e. unsupervised automation that can issue a take-over request) prior to a safety-relevant event becomes visible, drivers are able to safely resume manual control and perform similar as after an extended period of manual driving. Such safe driving performance seems to be independent of automation durations below 15 minutes.
机译:简介:通过详细了解驾驶员在自动驾驶一段时间后对安全相关事件的响应能力,可以实现安全的车辆自动化。例如,需要了解在哪些情况下存在自动化效果(例如延迟响应、驾驶性能下降、碰撞)。此外,需要确定导致或阻止这些自动化效果的特定因素(例如测试环境、系统提示、动手操作要求、自动化持续时间)。目标:本论文的目的是研究影响以下因素:(a) 辅助驾驶期间非提示(即没有警告/通知)安全相关事件中的自动化影响,以及 (b) 无监督自动化期间提示安全相关事件中的自动化后效应(即自动化影响专门在自动化停用后发生)。方法:进行了两次 Wizard-of-Oz 测试跑道实验,以研究驾驶员在安全相关事件中的反应过程。在实验 1 中,驾驶员需要监督(无论是否需要动手驾驶)辅助驾驶系统,然后响应系统未提示的安全相关事件。在实验 2 中,驾驶员在遇到与安全相关的事件之前,使用无人监督的自动化系统(短期和长时间)手动驾驶(基线)。自动化系统在安全相关事件出现前不久提示(发出接管请求)驾驶员恢复手动驾驶。结果:在实验 1 中,三分之一的驾驶员反应迟缓,或者根本没有采取行动,并在非提示的安全相关事件中发生碰撞。事实上,驾驶员的碰撞程度相同,并且无论他们是否在双手放在方向盘上监督辅助驾驶系统,他们的反应都相似。在实验 2 中,所有驾驶员都恢复了手动控制,并且在短暂和较长的自动化持续时间之后都没有在安全相关事件中发生碰撞。所有驾驶员在长期和短期自动化持续时间以及手动基线的安全相关事件中都表现出相似的反应和驾驶性能。讨论:未发现手动驾驶要求可以防止在辅助驾驶期间遇到的非提示安全相关事件中延迟响应或碰撞。需要做更多的工作来了解在其他类型的冲突和驾驶员分心的情况下,手动驾驶要求的潜在安全益处。实验 2 中发现的轻微自动化后遗症与之前的驾驶模拟器研究形成鲜明对比。原因可能是测试环境不同,但更有可能是由于提示驾驶员恢复手动控制的时间与安全相关事件何时可见的时间不同。结论:对于大多数驾驶员来说,安全的车辆自动化,包括辅助和无监督自动化,都可以在现实环境(测试跑道)中实现。然而,辅助驾驶与非提示的安全相关事件相结合,可能对安全有害,因为一些驾驶员可能不理解为避免碰撞而做出反应的必要性。事实上,手动驾驶要求并没有导致更早的转向响应,也没有防止驾驶员发生碰撞。因此,需要做更多的工作来了解如何确保驾驶员了解在辅助驾驶期间对非提示安全相关事件做出反应的必要性。事实上,当自动化成熟到可以在安全相关事件出现之前提示驾驶员(即可以发出接管请求的无人监督自动化)的水平时,驾驶员能够安全地恢复手动控制,并执行类似于长时间手动驾驶后的表现。这种安全驾驶性能似乎与低于 15 分钟的自动化持续时间无关。

著录项

  • 作者

    Pipkorn, Linda.;

  • 作者单位

    Chalmers Tekniska Hogskola (Sweden).;

    Chalmers Tekniska Hogskola (Sweden).;

    Chalmers Tekniska Hogskola (Sweden).;

  • 授予单位 Chalmers Tekniska Hogskola (Sweden).;Chalmers Tekniska Hogskola (Sweden).;Chalmers Tekniska Hogskola (Sweden).;
  • 学科 Design.;Collaboration.;Regulation.;Human performance.;Traffic.;Intervention.;Vehicles.
  • 学位
  • 年度 2020
  • 页码 47
  • 总页数 47
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Design.; Collaboration.; Regulation.; Human performance.; Traffic.; Intervention.; Vehicles.;

    机译:设计。;合作。;监管。;人类表现。;交通。;干预。;车辆。;
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