关键词: Automated driving Driver behavior Overtaking Perceived safety Technology acceptance Vehicle automation

Mesh : Humans Accidents, Traffic Automobile Driving Sports Linear Models Surveys and Questionnaires Automation

来  源:   DOI:10.1016/j.apergo.2022.103959

Abstract:
Future user acceptance will be a requirement for the AVs to accomplish their estimated safety benefits, highlighting the importance of acceptable driving behaviour. This study aims to investigate the parameters that affect the acceptability of highly automated overtaking. 237 respondents participated in a video based online survey, rating different motorway flying overtaking scenarios based on their preferences. The scores were analysed using a variety of methods (statistical tests, Principal Component Analysis, Linear Mixed Models). Long pull-out distances and manoeuvre duration values, as well as lower speeds were preferred by the participants, with some limited impact of the driving situation. Overall, behaviour simulating an average, cautious human driver is likely to positively influence acceptability and suggests the value of further research on context-adaptive automated driving to account for subjective risk perception. These findings can contribute towards user-centred systems that assist or autonomously perform overtaking manoeuvres, supporting their uptake and thus the realisation of their safety benefits.
摘要:
未来的用户接受将是AV实现其估计的安全利益的要求,强调可接受的驾驶行为的重要性。本研究旨在调查影响高度自动化超车可接受性的参数。237名受访者参加了一项基于视频的在线调查,根据他们的喜好对不同的高速公路超车情况进行评级。使用多种方法(统计测试,主成分分析,线性混合模型)。长拔出距离和机动持续时间值,以及较低的速度是参与者的首选,对驾驶情况的影响有限。总的来说,模拟平均值的行为,谨慎的人类驾驶员可能会对可接受性产生积极影响,并建议对上下文自适应自动驾驶进行进一步研究以解释主观风险感知的价值。这些发现可以有助于以用户为中心的系统,帮助或自主执行超车操作,支持他们的吸收,从而实现他们的安全利益。
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