Smoothing-MP: A novel max-pressure signal control considering signal coordination to smooth traffic in urban networks

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
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Abstract

Decentralized traffic signal control methods, such as max-pressure (MP) control or back-pressure (BP) control, have gained increasing attention in recent years. MP control, in particular, boasts mathematically-proven network throughput properties, enabling it to optimize network throughput and stabilize vehicle queue lengths whenever possible. Urban traffic volume is dynamic and features a non-uniform distribution throughout the network. Specifically, heavier traffic is often observed along arterial corridors or major origin–destination streams, such as those in central business districts (CBD), while less traffic is found on sub-arterial roads. To address these issues, many existing signal plans incorporate coordinated signal timing. Numerous previous studies have formulated signal coordination optimization as mixed-integer programming problems, with most belonging to centralized traffic signal controller categories. However, centralized approaches do not scale well to larger city networks. In this paper, we introduce a novel max-pressure signal control approach called Smoothing-MP, which considers signal coordination in urban networks to achieve both maximum vehicle stability and reduced travel time and delay along specific urban corridors, without altering the original stable region proposed by Varaiya (2013). This study represents a pioneering effort in modifying max-pressure control to incorporate signal coordination. Crucially, this policy retains the decentralized characteristic of the original max-pressure control, relying exclusively on local information sourced from upstream and downstream intersections. To evaluate the proposed Smoothing-MP control, we executed simulation studies on two different types of networks, the Downtown Austin Network and a Grid Network. The results unequivocally show that Smoothing-MP matches the maximum throughput of the original MP control. Moreover, it significantly reduces both travel time and delay along coordinated corridors. This dual accomplishment underscores the efficacy and potential advantages of the Smoothing-MP control approach.

平滑-MP:考虑信号协调的新型最大压力信号控制,使城市网络中的交通更加顺畅
近年来,分散式交通信号控制方法,如最大压力(MP)控制或反压(BP)控制,越来越受到人们的关注。尤其是 MP 控制,它拥有经过数学验证的网络吞吐量特性,能够优化网络吞吐量并尽可能稳定车辆排队长度。城市交通流量是动态的,而且在整个网络中的分布并不均匀。具体来说,交通流量较大的往往是主干道或主要出发地-目的地流,如中央商务区(CBD)的主干道,而次干路的交通流量较小。为了解决这些问题,许多现有的信号规划都采用了协调信号配时。以往的许多研究都将信号协调优化表述为混合整数编程问题,其中大部分属于集中式交通信号控制器范畴。然而,集中式方法并不能很好地扩展到更大的城市网络。在本文中,我们引入了一种名为 "平滑-MP "的新型最大压力信号控制方法,该方法考虑了城市网络中的信号协调问题,在不改变 Varaiya(2013 年)提出的原始稳定区域的前提下,沿特定的城市走廊实现最大的车辆稳定性,并减少旅行时间和延迟。这项研究开创性地修改了最大压力控制,将信号协调纳入其中。最重要的是,该策略保留了原始最大压力控制的分散特性,完全依赖于来自上下游交叉口的本地信息。为了评估所提出的平滑-MP 控制,我们对两种不同类型的网络(奥斯汀市中心网络和网格网络)进行了模拟研究。结果明确显示,平滑-MP 可达到原始 MP 控制的最大吞吐量。此外,它还大大减少了协调走廊上的旅行时间和延迟。这一双重成就凸显了平滑-MP 控制方法的功效和潜在优势。
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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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