A dynamic signal coordination control method for urban arterial roads and its application

Guo-jiang SHEN; Yong-yao YANG

doi:10.1631/FITEE.1500227

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A dynamic signal coordination control method for urban arterial roads and its application

Regular Papers | Updated：2022-05-19

- A dynamic signal coordination control method for urban arterial roads and its application
- 一种城市主干道信号动态协调控制方法及其应用
- Frontiers of Information Technology & Electronic Engineering Vol. 17, Issue 9, Pages: 907-918(2016)
- Affiliations：
  
  1College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China
  2Zhejiang Zheda Supcon Information Technique Co., Ltd., Hangzhou 310053, China
- Author bio：
  
  E-mail:gjshen1975@zjut.edu.cn
- Funds：
- DOI：10.1631/FITEE.1500227
  CLC： TP273;U491
- Received：19 July 2015，
  
  Accepted：18 April 2016，
  
  Published：2016-09
- Accepted：
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Guo-jiang SHEN, Yong-yao YANG. A dynamic signal coordination control method for urban arterial roads and its application[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(9): 907-918.
DOI：

Guo-jiang SHEN, Yong-yao YANG. A dynamic signal coordination control method for urban arterial roads and its application[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(9): 907-918. DOI： 10.1631/FITEE.1500227.

摘要

针对城市主干道的交通流特征，提出了一种新的交通信号协调控制方法。其核心控制算法包括两个模块：控制子区划分模块和信号协调控制模块。本文首先分析了相邻交叉口的路段长度、路段交通密度以及交叉口信号配时参数对相邻交叉口交通关联度的影响，然后设计了基于分层结构的相邻交叉口交通关联度的模糊计算方法和基于关联度的主干道控制子区划分方法。接着提出了一种控制子区协调控制算法，根据一段时间内交通流信息计算控制子区公共信号周期、路段上下行相位差和各路口的绿信比。实际应用表明该控制方法能有效降低主干道交通流平均旅行时间和平均停车率，效果令人满意。

Abstract

We propose a novel dynamic traffic signal coordination method that takes account of the special traffic flow characteristics of urban arterial roads. The core of this method includes a control area division module and a signal coordination control module. Firstly

we analyze and model the influences of segment distance

traffic flow density

and signal cycle time on the correlation degree between two neighboring intersections. Then

we propose a fuzzy computing method to estimate the correlation degree based on a hierarchical structure and a method to divide the control area of urban arterial roads into subareas based on correlation degrees. Subarea coordination control arithmetic is used to calculate the public cycle time of the control subarea

up-run offset and down-run offset of the section

and the split of each intersection. An application of the method in Shaoxing City

Zhejiang Province

China shows that the method can reduce the average travel time and the average stop rate effectively.

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references

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