Department of Automation, Tsinghua University, Beijing, 100084, China.
Department of Automation, Tsinghua University, Beijing, 100084, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
Accid Anal Prev. 2021 Feb;150:105937. doi: 10.1016/j.aap.2020.105937. Epub 2020 Dec 15.
The autonomous vehicle is regarded as a promising technology with the potential to reshape mobility and solve many traffic issues, such as accessibility, efficiency, convenience, and especially safety. Many previous studies on driving strategies mainly focused on the low-level detailed driving behaviors or specific traffic scenarios but lacked the high-level driving strategy studies. Though researchers showed increasing interest in driving strategies, there still has no comprehensive answer on how to proactively implement safe driving. After analyzing several representative driving strategies, we propose three characteristic dimensions that are important to measure driving strategies: preferred objective, risk appetite, and collaborative manner. According to these three characteristic dimensions, we categorize existing driving strategies of autonomous vehicles into four kinds: defensive driving strategies, competitive driving strategies, negotiated driving strategies, and cooperative driving strategies. This paper provides a timely comparative review of these four strategies and highlights the possible directions for improving the high-level driving strategy design.
自动驾驶汽车被认为是一项有前途的技术,有望重塑交通方式,并解决许多交通问题,如可达性、效率、便利性,特别是安全性。许多之前关于驾驶策略的研究主要集中在低层次的详细驾驶行为或特定的交通场景上,但缺乏高层次的驾驶策略研究。尽管研究人员对驾驶策略越来越感兴趣,但仍然没有一个全面的答案可以说明如何主动实施安全驾驶。在分析了几种有代表性的驾驶策略后,我们提出了三个重要的特征维度来衡量驾驶策略:首选目标、风险偏好和协作方式。根据这三个特征维度,我们将自主车辆的现有驾驶策略分为四种类型:防御性驾驶策略、竞争性驾驶策略、协商性驾驶策略和合作性驾驶策略。本文对这四种策略进行了及时的对比综述,并强调了改进高层次驾驶策略设计的可能方向。