网联自动驾驶汽车交叉口管理研究综述

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
M. Khayatian, Mohammadreza Mehrabian, E. Andert, Rachel Dedinsky, S. Choudhary, Y. Lou, Aviral Shirvastava
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引用次数: 57

摘要

互联自动驾驶汽车(CAV)的交叉口管理具有提高安全性和机动性的潜力。接近交叉口的CAV可以与基础设施或彼此交换信息,以安排其交叉时间。通过避免不必要的停车,调度CAV可以提高交通吞吐量,降低能耗,最重要的是,最大限度地减少交叉口区域因人为失误而发生的事故数量。我们从以下关键角度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)多交叉口管理的扩展,(7)支持人工驾驶车辆的挑战,(8)真实部署所需的安全性和稳健性,(9)紧急情况下的优雅降级和恢复,(10)安全问题和攻击模型,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,最后讨论了权衡和进一步的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Intersection Management of Connected Autonomous Vehicles
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 to multi-intersection management, (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.
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来源期刊
ACM Transactions on Cyber-Physical Systems
ACM Transactions on Cyber-Physical Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.70
自引率
4.30%
发文量
40
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