A Survey on Intersection Management of Connected Autonomous Vehicles

被引:78
作者
Khayatian, Mohammad [1 ]
Mehrabian, Mohammadreza [1 ]
Andert, Edward [2 ]
Dedinsky, Rachel [2 ]
Choudhary, Sarthake [2 ]
Lou, Yingyan [2 ]
Shrivastava, Aviral [1 ]
机构
[1] Arizona State Univ, 660 S Mill Ave, Tempe, AZ 85281 USA
[2] Arizona State Univ, 660 S Coll Ave, Tempe, AZ USA
基金
美国国家科学基金会;
关键词
Connected autonomous vehicles; traffic intersection management; TECHNOLOGY; SYSTEM;
D O I
10.1145/3407903
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Intersection management of Connected Autonomous Vehicles (CAVs) has the potential to improve safety and mobility. CAVs approaching an intersection can exchange information with the infrastructure or each other to schedule their cross times. By avoiding unnecessary stops, scheduling CAVs can increase traffic throughput, reduce energy consumption, and most importantly, minimize the number of accidents that happen in intersection areas due to human errors. We study existing intersection management approaches from following key perspectives: (1) intersection management interface, (2) scheduling policy, (3) existing wireless technologies, (4) existing vehicle models used by researchers and their impact, (5) conflict detection, (6) extension tomulti-intersectionmanagement, (7) challenges of supporting human-driven vehicles, (8) safety and robustness required for real-life deployment, (9) graceful degradation and recovery for emergency scenarios, (10) security concerns and attack models, and (11) evaluation methods. We then discuss the effectiveness and limitations of each approach with respect to the aforementioned aspects and conclude with a discussion on tradeoffs and further research directions.
引用
收藏
页数:27
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