基于PSO-X算法的交通信号区域协调控制模型

doi:10.3969/j.issn.1674-0696.2022.01.06

重庆交通大学学报（自然科学版） ›› 2022, Vol. 41 ›› Issue (01): 38-43.DOI: 10.3969/j.issn.1674-0696.2022.01.06

• 交通+大数据人工智能 • 上一篇

基于PSO-X算法的交通信号区域协调控制模型

徐建闽1，周传1，首艳芳2

(1. 华南理工大学土木与交通学院, 广东广州 510640； 2. 华南理工大学广州现代产业技术研究院, 广东广州 510640)

收稿日期:2020-02-01 修回日期:2020-07-23 发布日期:2022-01-20
作者简介:徐建闽（1960—），男，山东招远人，教授，博士，主要从事智能交通控制方面的研究。E-mail:aujmxu@scut.edu.cn 通信作者：周传（1995—），男，四川乐山人，硕士研究生，主要从事智能交通控制方面的研究。E-mail:zc314527170@163.com
基金资助:
国家自然科学基金面上项目（61873098）；广东省科技计划项目（2016A030305001）；中央高校基本科研业务费专项资金项目（2018KZ17）

Traffic Signal Area Coordination Control Model Based on PSO-X Algorithm

XU Jianmin1, ZHOU Chuan1, SHOU Yanfang2

(1. College of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. Guangzhou Institute of Modern Industrial Technology, South China University of Technology, Guangzhou 510640, Guangdong, China)

Received:2020-02-01 Revised:2020-07-23 Published:2022-01-20

摘要/Abstract

摘要： 为了提高城市交通区域的通行效率，防止路段上车辆排队过长，以区域输出车流量、交叉口路段排队长度和总延误3个性能指标为目标，考虑各交叉口相位绿灯时间、相对相位差约束关系，建立了交通区域交叉口协调控制模型。先通过上下游关系计算得出相邻交叉口之间的相对相位差，再采用改进粒子群算法对模型进行求解，得到最佳周期。仿真实验结果显示：应用笔者提出来的协调控制模型，能有效降低交通区域延误，减少排队长度，增加交通量的输出。

关键词: 交通运输工程；相位差；区域协调控制；信号配时；粒子群算法；延误时间

Abstract: In order to improve the traffic efficiency in urban traffic areas and prevent vehicles from queuing too long on the road section, a traffic regional intersection coordinated control model was established, which aimed at the three performance indexes such as regional output traffic flow, intersection section queue length and total delay and considered the constraints of phase green light time and relative phase difference at each intersection. Firstly, the relative phase difference between adjacent intersections was calculated through the upstream and downstream relationship, and then the improved particle swarm optimization algorithm was used to solve the proposed model to obtain the optimal period. The simulation test results show that the proposed coordinated control model can effectively reduce the delay in the traffic area, reduce the queue length and increase the output of traffic volume.

Key words: traffic and transportation engineering; phase difference; regional coordinated control; signal timing; particle swarm optimization algorithm; the delay time

中图分类号:

U491.2+3

徐建闽1，周传1，首艳芳2. 基于PSO-X算法的交通信号区域协调控制模型[J]. 重庆交通大学学报（自然科学版）, 2022, 41(01): 38-43.

XU Jianmin1, ZHOU Chuan1, SHOU Yanfang2. Traffic Signal Area Coordination Control Model Based on PSO-X Algorithm[J]. Journal of Chongqing Jiaotong University(Natural Science), 2022, 41(01): 38-43.

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基于PSO-X算法的交通信号区域协调控制模型

Traffic Signal Area Coordination Control Model Based on PSO-X Algorithm

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