计算机应用研究Issue(1)：194-198,244,6.DOI:10.3969/j.issn.1001-3695.2016.01.045
基于 TCPN 的交叉口信号控制模型与优化
Traffic signal control model and optimization based on timed colored Petri nets
摘要
Abstract
Aiming at the problems of low intersection traffic efficiency in urban road network and traffic signal control strategy difficult to meet changes in the input section of the traffic,this paper presented a method of intersection traffic signal control and optimization based on timed colored Petri nets.Firstly,this paper built the TCPN model of road,intersection and signal control system.Secondly,on the premise of the invariant signal cycle,used the input number of road vehicles acquiring by the TCPN model,adjusted the length of each phrase in the proposed signal timing formula,to ensure the maximum output of inter-section vehicle while the minimum average number of stay by vehicle in input road.The simulation results show that traffic ca-pacity of intersection increased significantly,the average output stretch of road vehicle respectively increased by 13.3%, 9.7%,9.8% and 4.3%.关键词
智能交通系统/交通信号控制/时延赋色Petri网/通行能力/优化Key words
intelligent transportation systems/traffic signal control/timed colored Petri nets/traffic efficiency/optimization分类
交通运输引用本文复制引用
安毅生,雷甜,袁绍欣,赵祥模..基于 TCPN 的交叉口信号控制模型与优化[J].计算机应用研究,2016,(1):194-198,244,6.基金项目
国家自然科学基金资助项目（51278058，50978030）；陕西省自然科学基础研究计划项目（2014JZ019）；中国博士后科学基金资助项目 （）
