基于SUMO仿真的交叉口信号配时优化研究  

On Optimization of Intersection Signal Timing Based on SUMO Simulation

作　　者：张军[1] 卞云豪 刘克非 张建祥 Zhang Jun;Bian Yunhao;Liu Kefei;Zhang Jianxiang(School of Artificial Intelligence,Anhui University of Science and Technology,Huainan,Anhui 232001,China;School of Mechanical Engineering,Anhui University of Science and Technology,Huainan,Anhui 232001,China)

机构地区：[1]安徽理工大学人工智能学院,安徽淮南232001 [2]安徽理工大学机械工程学院,安徽淮南232001

出　　处：《黑龙江工业学院学报（综合版）》2023年第6期87-93,共7页Journal of Heilongjiang University of Technology(Comprehensive Edition)

基　　金：国家自然科学基金资助项目(项目编号:51175005);教育部协同育人项目(项目编号:202101054003);安徽理工大学研究生核心课程项目(项目编号:2021HX013)。

摘　　要：随着我国城市化的快速发展,城市交通负担也急剧增长,如何提高交通信号配时方案与交通需求的匹配度是智慧城市亟待解决的热点问题之一。为了缓解交通延误、提高道路通行效率,降低排放污染问题。以淮南市洞山东路与淮河大道北段交叉口为例,利用Webster算法优化信号配时,用微观交通仿真软件SUMO对该交叉口建立微观道路交通流模型并进行仿真优化,并对优化前后的仿真结果对比分析。结果表明,优化后交叉口的信号总周期缩短了25%,平均延误、平均等待时间、平均速度和CO总排放等指标明显降低,能够有效地缓解交叉口拥堵,减少了交叉口尾气排放。With the rapid development of urbanization in China,the burden of urban traffic also increases sharply.How to improve the matching degree of traffic signal timing scheme and traffic demand is one of the hot issues to be solved urgently in smart cities.In order to ease traffic delays,improve road efficiency,reduce emissions and pollution problems,taking the intersection of East Dongshan Road and North Huaihe Avenue in Huainan City as an example.Webster algorithm is used to optimize signal timing,and SUMO software is used to build a micro road traffic flow model for this intersection and perform simulation optimization.The simulation results before and after optimization are compared and analyzed.The results show that the total signal period of the optimized intersection is shortened by 25%,and the average delay,average waiting time,average speed and total CO emission are significantly reduced,which can effectively alleviate the intersection congestion and reduce the intersection exhaust emission.

关 键 词：交叉口 Webster算法 信号配时 SUMO 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] U491.51[自动化与计算机技术—计算机科学与技术]