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

作　　者：Guo-jiang SHEN Yong-yao YANG 

机构地区：[1]College of Computer Science and Technology, Zhejiang University of Technology [2]Zhejiang Zheda Supcon Information Technique Co., Ltd.

出　　处：《Frontiers of Information Technology & Electronic Engineering》2016年第9期907-918,共12页信息与电子工程前沿（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(No.61174174);the Science and Technique Program of Zhejian g Province,China(No.2015C31059);the Science and Techni que Program of Zhejiang Provincial Department of Transportation,China(No.2014T08)

摘　　要：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.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.

关 键 词：Urban arterial Control subarea Coordination control Correlation degree Fuzzy logic Intelligent transportation 

分 类 号：U491.54[交通运输工程—交通运输规划与管理]