车辆队列中的人为因素:综述

U. Atmaca, C. Maple, G. Epiphaniou, A. Sheik
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引用次数: 1

摘要

车辆队列(一组两辆或更多辆连续连接的自动驾驶汽车,基于车与车之间的通信,以相同的速度同时行驶,车与车之间的距离很短)在促进交通方面具有巨大的潜力,包括提高出行安全性,提高交通效率和降低能耗。开发基于机器学习的自动驾驶系统已经成为人们关注的焦点。然而,人类与自动驾驶系统之间的相互作用尚未得到广泛研究,尽管了解人为因素至关重要,因为这可能导致人为错误和潜在的事故。此外,车辆队列为驾驶员引入了一种新的协同驾驶模式。在这种情况下,可能会出现一种人类与车队互动的新模式。本研究提出了一种半系统的方法来回顾车辆排中人为因素的现有研究。在人为因素中,用户接受度和信任显著影响自动驾驶的持续发展和相关用户满意度。实现更高的用户满意度可以为未来的车辆队列服务提供商带来商业优势。本文将人车队列交互分为行人交互、其他驾驶员交互和队列内驾驶员交互三大类。然后强调了该领域的研究空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Factors for Vehicle Platooning: A Review
Vehicle platooning (a group of two or more consecutive connected autonomous vehicles that travel simultaneously at the same velocity with a short inter-vehicular distance based on vehicle to vehicle communication) has significant potential to advance traffic, including enhancing travel safety, improving traffic efficacy and decreasing energy consumption. Much focus has been put on developing machine learning-based autonomous driving systems. However, the interactions between humans and the autonomous driving system have not been widely studied, although understanding the human factor is critical as that can cause human errors and potential accidents. Besides, vehicle platooning introduces a new cooperative driving paradigm for drivers. From such circumstances may emerge a new pattern for human interaction with the vehicle platoons. This study presents a semisystematic methodology to review existing studies of human factors in vehicle platoons. Among the human factors, user acceptance and trust significantly impact the sustained development of autonomous driving and concerned user satisfaction. Achieving higher user satisfaction can present business advantages for vehicle platooning service providers in the future. In this paper, the human-vehicle platoon interaction is classified into three groups: pedestrians, other drivers and in-platoon driver interaction. Then the research gaps are highlighted for the field.
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