基于TdPN的无信号交叉口优化控制方法  

Optimization Control Method at Non-signalized Intersection Based on Timed Petri Net

作　　者：上官伟[1,2,3] 崔晓丹[1] 郑子茹 蔡伯根[1,3] 王 剑 

机构地区：[1]北京交通大学电子信息工程学院,北京100044 [2]北京交通大学轨道交通控制与安全国家重点实验室,北京100044 [3]北京交通大学北京市轨道交通电磁兼容与卫星导航工程技术研究中心,北京100044

出　　处：《中国公路学报》2016年第3期124-133,共10页China Journal of Highway and Transport

基　　金：国家自然科学基金重大项目(61490705);国家自然科学基金重点项目(U1334211);国家自然科学基金项目(61403021);科技部国际科技合作计划项目(2014DFA80260);北京高等学校青年英才计划项目(YETP0538)

摘　　要：为了提高城市交叉口通行效率,在车路协同环境下对无信号交叉口优化控制方法进行了研究。设计并采用基于时延Petri网(Timed Petri Net,TdPN)的无信号交叉口优化控制方法,利用TdPN建立无信号交叉口控制模型,并依此建立交叉口车辆最快消散目标函数,采用递归方式求解车辆最优通过序列;利用Q-Paramics构建基于车路协同环境下的无信号交叉口仿真平台,分析该方法在不同交通流量下对交叉口平均延迟、平均停车次数、平均排队长度和平均速度4个交通参数的影响,并将其与传统的信号控制方法进行对比。研究结果表明:基于TdPN的无信号优化控制方法能够在一定程度上缓解中小交通流量下的交叉口通行问题,并且其控制结果明显优于传统的感应控制方法。In order to improve the efficiency of urban intersection traffic,under the cooperative vehicle-infrastructure system（CVIS）environment,non-signalized intersection optimization control method was investigated.The method based on Timed Petri Net（TdPN）was designed and used.Based on the non-signalized control model built by using the TdPN,a target function of intersection vehicle most quickly dissipated was established and the vehicles optimum sequence crossing the intersection was solved by recursion;The non-signalized intersection simulation platform in CVIS environment was built by using Q-Paramics to analyze the effect of the method on four intersection traffic parameters,the average intersection delay,average number of stops,average queue length and the average speed under different traffic flows and the method was compared to the traditional signal control method.The results show that the TdPN control method can ease intersection traffic problems under the small and medium traffic flow to a certainextent,and its effect is significantly superior to that of the traditional intersection signal control method.

关 键 词：交通工程 无信号交叉口 TdPN 车路协同系统 Q-Paramics 

分 类 号：U491.23[交通运输工程—交通运输规划与管理]