Graph-Based Deadlock Analysis and Prevention for Robust Intelligent Intersection Management

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Cyber-Physical Systems Pub Date : 2023-11-08 DOI:10.1145/3632179
Kai-En Lin, Kuan-Chun Wang, Yu-Heng Chen, Li-Heng Lin, Ying-Hua Lee, Chung-Wei Lin, Iris Hui-Ru Jiang
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Abstract

Intersection management systems, with the assistance of vehicular networks and autonomous vehicles, have potential to perform traffic control more precisely than contemporary signalized intersections. However, as infrastructural intersection management controllers do not directly activate motions of vehicles, it is possible that the vehicles fail to follow the instructions from controllers, undermining system properties such as deadlock-freeness and traffic performance. In this paper, we consider a class of robustness issues, the time violations, which stem from possible discrepancies between scheduled orders and real executions. We refine a graph-based intersection model to build our theoretical foundations and analyze potential deadlocks and their resolvability. We develop solutions that mitigate negative effects of time violations. Particularly, we propose a Robustness-Aware Greedy Scheduling (RGS) algorithm for robust scheduling and evaluate the deadlock-free robustness of different intersection models and scheduling algorithms. Experimental results show that the RGS algorithm is able to significantly improve robustness and keep a good balance with traffic performance.
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基于图的智能交叉口鲁棒管理死锁分析与预防
在车辆网络和自动驾驶汽车的辅助下,交叉口管理系统有可能比现代信号交叉口更精确地执行交通控制。然而,由于基础设施交叉口管理控制器不直接激活车辆的运动,车辆有可能无法遵循控制器的指令,从而破坏系统属性,如无死锁和交通性能。在本文中,我们考虑了一类鲁棒性问题,即时间违反,它源于计划顺序与实际执行之间可能存在的差异。我们改进了一个基于图的交集模型来建立我们的理论基础,并分析了潜在的死锁及其可解性。我们开发解决方案,以减轻违反时间的负面影响。特别地,我们提出了一种鲁棒感知贪婪调度(RGS)算法用于鲁棒调度,并评估了不同交叉口模型和调度算法的无死锁鲁棒性。实验结果表明,RGS算法能够显著提高鲁棒性,并与流量性能保持良好的平衡。
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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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