基于层次颜色Petri网的全感应控制交通信号灯建模与仿真

针对平面交叉口单点全感应控制信号灯系统实时调度问题,提出一种基于层次颜色Petri网的交叉路口的信号灯动态配时控制模型。首先,运用模糊控制理论对车流量信息进行分类定义。其次,以采集到的车流量信息为控制参数,基于层次颜色Petri网理论建立基本的信号灯轮廓模型,再依据模型中实现的关键功能进行分层细化与逐步求精。此外,将计数器代替时延加入系统模型中,使模型能够直观简洁地反映出红绿灯的循环时间与车流量之间的切换关系。根据所得模型对该交叉口信号灯配时方案的性能指标进行评估与比较。最后,运用CPN Tools对系统模型进行计算仿真,并进行简单的优化性能分析。

Modeling and simulation of full-sensitive control traffic lights based on hierarchical colored Petri net

Focus on the real-time scheduling problem of a single-point full-sensitive control traffic lights signal system, we construct a dynamic timed control model of traffic lights by using the hierarchical colored Petri net (HCPN). First of all, traffic flow data are classified based on the fuzzy control theory. Secondly, utilizing the collected traffic information as the control parameters, we establish a basic traffic signal outline model based on the hierarchical color Petri net theory, and then stratified model refinement and stepwise refinement are made in accordance with the key features. In addition, a counter instead of time delay is added to the system model. The switching relationship between traffic light cycle time and traffic flows is reflected in a simple and direct way. Performance indicators are evaluated and compared through this method. Finally, the system model is implemented and validated using the CPN Tools and a simple performance optimization analysis is made.