A Two-Speed Synchronous Traffic Protocol for Intelligent Intersections: From Single-Vehicle to Platoon Crossing

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Cyber-Physical Systems Pub Date : 2022-11-18 DOI:10.1145/3571289
Daniel Markert, Alejandro Masrur
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Abstract

With progress in cooperative and autonomous driving, there is an increasing interest in intelligent intersections to replace conventional traffic lights and, thereby, improve traffic efficiency. To avoid accidents in such safety-critical systems, a traffic protocol needs to be implemented. In this article, we are concerned with synchronous traffic protocols, i.e., those that synchronize the arrival time of vehicles at the intersection. In particular, such protocols are normally conceived for homogeneous vehicles of approximately the same size/length. However, these do not extend well to heterogeneous vehicles, i.e., they lead to unviable requirements on the road infrastructure. To overcome this limitation, based on the observation that large/overlength vehicles like buses and trams are less frequent than passenger vehicles, we propose an approach that treats them as exceptions (rather than the rule) leading to a much more efficient design. In contrast to approaches from the literature, we implement a two-speed policy—with a high speed for drive-through and a low speed for turn maneuvers—and analyze both single-vehicle as well as fairness-based platoon crossing. To conclude, we perform detailed comparisons illustrating the benefits by the proposed approach.
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智能交叉口的双速同步交通协议:从单车到排式交叉口
随着合作驾驶和自动驾驶技术的进步,人们对智能十字路口的兴趣越来越大,以取代传统的交通信号灯,从而提高交通效率。为了避免在这些安全关键系统中发生事故,需要实现一个交通协议。在本文中,我们关注的是同步交通协议,即同步车辆到达十字路口时间的协议。特别是,这种协议通常是为大约相同尺寸/长度的同质车辆设计的。然而,这些不能很好地扩展到异构车辆,也就是说,它们导致对道路基础设施的不可行的要求。为了克服这一限制,基于对大型/超长车辆(如公共汽车和有轨电车)比客运车辆更少的观察,我们提出了一种将其视为例外(而不是规则)的方法,从而实现更有效的设计。与文献中的方法相比,我们实现了一种双速策略——高速通过,低速转弯——并分析了单车辆和基于公平性的队列穿越。最后,我们进行了详细的比较,说明了所提出的方法的好处。
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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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