Comfort and Safety in Conditional Automated Driving in Dependence on Personal Driving Behavior

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Laurin Vasile;Naramsen Dinkha;Barbara Seitz;Christoph Däsch;Dieter Schramm
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引用次数: 0

Abstract

When changing from active driving to conditional automated driving (CAD), the question arises whether users still prefer their own driving behavior while being a passenger. The aim of this paper is to analyze driving behavior preferences in CAD based on the perception of comfort and safety, taking the personal driving behavior into account. Furthermore, it is investigated if users are able to manually demonstrate their desired driving behavior for CAD. Data on the personal, desired and experienced automated driving behavior of 42 participants from a real-world study was used to investigate both research questions for car-following (CF) and decelerating to a lead vehicle (DL) situations. In a first step, the personal and desired driving behavior is compared with the automated driving behavior based on selected parameters. Subsequently, the relationship between behavior differences and the assessed situation comfort and safety is analyzed. The results show a dependency between differences of personal and automated driving behavior and subjective ratings for comfort and safety. Furthermore, results suggest that participants prefer a driving behavior similar to or more defensive than their own for CAD. Our findings also show that participants were able to demonstrate their desired comfort driving behavior in CF and DL situations.
条件自动驾驶的舒适性和安全性与个人驾驶行为的关系
当从主动驾驶转变为条件自动驾驶(CAD)时,用户是否仍然喜欢自己作为乘客的驾驶行为?本文的目的是在考虑个人驾驶行为的基础上,基于舒适性和安全性的感知来分析CAD中的驾驶行为偏好。此外,它是调查用户是否能够手动演示他们想要的驾驶行为的CAD。来自现实世界研究的42名参与者的个人、期望和经验自动驾驶行为数据用于调查汽车跟随(CF)和减速到领先车辆(DL)情况的研究问题。首先,将个人和期望驾驶行为与基于选定参数的自动驾驶行为进行比较。在此基础上,分析了行为差异与情境舒适度和安全性之间的关系。结果显示,个人和自动驾驶行为的差异与舒适度和安全性的主观评分之间存在依赖关系。此外,结果表明,参与者更倾向于与自己的CAD相似或更具防御性的驾驶行为。我们的研究结果还表明,参与者能够在CF和DL情况下表现出他们期望的舒适驾驶行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.40
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