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An integrated arterial coordinated control model considering green wave on branch roads and pedestrian crossing time at intersections

         

摘要

Urban fine management needs scientific traffic management methods and efficient signal control programs. Green wave control is usually used to facilitate the unban traffic.However, maximum bandwidth optimization on arterial traffic signal timing is usually yielded from the sacrifice of the branch road. The green wave on branch roads and pedestrian crossing time at intersections are often neglected. In this paper, an extended integrated green wave control method is presented to solve the coordinated control issue,which considers green time constraints to ensure necessary time for vehicles on branch roads and pedestrian crossing time at intersections. Non-coordinated phase saturation is first introduced to describe the green time on branch roads. Next, the arterial roads are partitioned to enlarge the green wave bandwidth and an extended green wave optimization model with green time constraints is proposed. Combined with the green wave searching method, an improved genetic algorithm is applied. Finally, a real-world case study in Shenzhen, China, is employed to assess the model. Results show the proposed model can(1) reach the same public green time as in the traditional method and(2) increase the average sub-green wave bandwidth to improve the signal control.

著录项

  • 来源
    《管理科学学报:英文版》 |2020年第4期|303-317|共15页
  • 作者单位

    1. School of Management Engineering;

    Capital University of Economics and Business 2. Institute for Transport Studies;

    University of Leeds;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 U491.54;
  • 关键词

    机译:协调控制;绿波;最大带宽;遗传算法;
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