A comparative study of state-of-the-art driving strategies for autonomous vehicles

被引:70
|
作者
Zhao, Can [1 ]
Li, Li [1 ]
Pei, Xin [1 ]
Li, Zhiheng [1 ,2 ]
Wang, Fei-Yue [3 ]
Wu, Xiangbin [4 ]
机构
[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
[3] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China
[4] Intel China Inst, Beijing 100080, Peoples R China
基金
中国国家自然科学基金;
关键词
Autonomous vehicles; Driving strategy; Risk appetite; Interaction manner; TRAFFIC FLOW THEORIES; AUTOMATED VEHICLES; COLLISION-AVOIDANCE; DECISION-MAKING; BEHAVIOR; RISK; ENVIRONMENT; TRANSITION; CONTROLLER; MITIGATION;
D O I
10.1016/j.aap.2020.105937
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
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.
引用
收藏
页数:10
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