N-MP:基于网络状态的最大压力算法,包含区域周边控制

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Hao Liu , Vikash V. Gayah
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引用次数: 0

摘要

最大压力(MP)框架已被证明是一种有效的实时分散式交通信号控制算法。然而,尽管 MP 具有卓越的性能和理想的特性(如最大稳定性),但由于城市交通网络中特定区域内的拥堵加剧,它仍可能出现网络流动性下降的问题。为了解决这一缺陷,进一步提高城市网络中 MP 控制的性能,本文提出了一种新型 MP 算法,将区域交通状态纳入 MP 框架。所提出的模型被称为 N-MP,它同时整合了待保护网络区域边界的周边计量控制和传统的本地交叉口控制。所提出的模型首次将周边计量控制完全纳入分散信号控制环境,并继承了最大稳定性特性。此外,与最初的 MP 算法相比,除了测量网络受保护区域内的拥堵情况外,它不需要额外的交通状态测量。微观交通仿真结果表明,在各种交通条件下,所提出的模型优于两种基准周边控制模型--砰砰控制和反馈门控。更有趣的是,这种优势在完全连接和部分连接的环境中都能保持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
N-MP: A network-state-based Max Pressure algorithm incorporating regional perimeter control
The Max Pressure (MP) framework has been shown to be an effective real-time decentralized traffic signal control algorithm. However, despite its superior performance and desirable features – such as the maximum stability property – it may still suffer from deterioration in network mobility due to the rise of congestion within specific regions of an urban traffic network. To address this drawback and further improve the performance of MP control in urban networks, this paper proposes a novel MP algorithm that incorporates regional traffic states into the MP framework. The proposed model – called N-MP – simultaneously integrates perimeter metering control at the boundary of regions of a network to be protected with traditional local intersection control. The proposed model is the first to incorporate perimeter metering control fully within a decentralized signal control environment and inherits the maximum stability property. In addition, it does not require extra traffic state measurements compared to the original MP algorithms, beyond a measure of congestion within the protected region of the network. Microscopic traffic simulation results demonstrate that the proposed model can outperform two baseline perimeter control models – Bang–Bang control and feedback gating – under various traffic conditions. More interestingly, this superiority is maintained in both fully and partially connected environments.
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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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