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Distributed Cooperative Backpressure-Based Traffic Light Control Method

机译:基于分布式协同背压的交通信号灯控制方法

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摘要

On the foundation of the original backpressure-based traffic light control algorithm, a distributed cooperative backpressure-based traffic light control method is proposed in this paper. The urban traffic network is modeled as a smart agent-controlled queuing network, in which the intersection agents exchange the queue length information and the selected activating light phase information of neighboring intersections through communications and determine the activating light phase at each time slot according to local traffic information. The improved phase pressure computation method considers the phase state of downstream intersections instead of only the queue length of the local intersections. Light phase switching coordination among adjacent intersections is achieved using the consensus-based bundle algorithm, in which the cooperative light phase switching problem is viewed as a task assignment issue among adjacent intersections. Simulation results illustrated that the proposed cooperative backpressure-based traffic light control method obtained better performance than the original backpressure-based and fixed-time traffic control methods.
机译:在原有基于反压的交通信号灯控制算法的基础上,提出了一种基于分布式协同反压的交通信号灯控制方法。城市交通网络被建模为智能代理控制的排队网络,其中路口代理通过通信交换队列长度信息和相邻路口选择的激活光相位信息,并根据本地时间确定每个时隙的激活光相位。交通信息。改进的相压力计算方法考虑下游路口的相态,而不仅考虑本地路口的排队长度。使用基于共识的捆绑算法可实现相邻路口之间的光相位切换协调,其中协作光相位切换问题被视为相邻路口之间的任务分配问题。仿真结果表明,所提出的基于协作背压的交通信号灯控制方法比基于原始背压的固定时间交通控制方法具有更好的性能。

著录项

  • 来源
    《Journal of Advanced Transportation》 |2019年第2期|7481489.1-7481489.14|共14页
  • 作者单位

    Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China|Shandong Yingcai Univ, Sch Informat & Engn, Jinan 250104, Shandong, Peoples R China;

    Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China;

    Shandong Yingcai Univ, Sch Informat & Engn, Jinan 250104, Shandong, Peoples R China;

    Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:23:17

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