A Survey on Intersection Management of Connected Autonomous Vehicles
A Survey on Intersection Management of Connected Autonomous Vehicles
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DOI：
10.1145/3407903
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发表时间：
2020-08-01
影响因子：
2.3
通讯作者：
Shrivastava, Aviral
中科院分区：
文献类型：
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作者：
Khayatian, Mohammad;Mehrabian, Mohammadreza;Shrivastava, Aviral
互联自动驾驶车辆(CAV)的交叉口管理具有提高安全性和机动性的潜力。接近十字路口的骑兵可以与基础设施或彼此交换信息，以安排他们的穿越时间。通过避免不必要的停车，调度CAV可以增加交通吞吐量，降低能源消耗，最重要的是，最大限度地减少因人为错误而在十字路口区域发生的事故数量。我们从以下几个关键方面研究了现有的交叉口管理方法：(1)交叉口管理接口，(2)调度策略，(3)现有的无线技术，(4)研究人员使用的现有车辆模型及其影响，(5)冲突检测，(6)扩展到多交叉口管理，(7)支持人类驾驶车辆的挑战，(8)现实部署所需的安全性和健壮性，(9)紧急情况下的优雅退化和恢复，(10)安全考虑和攻击模型，以及(11)评估方法。然后，我们讨论了每种方法在上述方面的有效性和局限性，并以权衡和进一步研究方向的讨论结束。
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.