基于Petri网的无信号交叉口车辆诱导及优化系统研究

Research on Vehicle Guidance and Optimization System of Unsignalized Intersection Based on Petri Net Model

为充分利用现有城市道路交通空间,在车路协同环境下对无信号交叉口控制优化方法进行了研究。根据交通流冲突点理论,交叉口分为不同的空间区域,车辆进入不同的区域需要申请该区域路权资源;利用赋时Petri网建立无信号交叉口控制模型。根据优化算法,得到较优的车辆通行序列,从而实时引导车辆通过交叉口;分析了不同数量车辆对交叉口的延误时间、车辆平均延迟时间的影响,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Petri网的无信号交叉口控制方案改善了交叉口通行状况,控制效果优于传统的信号控制方法。

In order to make full use of the existing space of city road,under the collaborative vehicle-infrastructure systems environment,the unsignalized intersection optimization control method is investigated.According to the conflict theory of traffic flow,the intersection is divided into different regions,and vehicles need to apply for road right resources while entering different regions.The unsignalized intersection control model is designed by using timed Petri net.Therefore,the optimal vehicle traffic sequence is obtained by the optimization algorithm,which can guide vehicles cross the intersection in real time.The influence of different quantity of vehicles on the delay time of the intersection and the average delay time of vehicles is analyzed and the method is compared with the traditional signal control method.The result indicates that the timed Petri net model method can improve the intersection traffic,and its effect is superior to that of the traditional signal control method.