混合Petri网交叉口信号灯建模的模糊优化

城市车流量急剧增加和道路通行能力之间的矛盾日益激化,交通拥堵已成为亟待解决的社会问题。道路交叉口信号灯优化控制是解决该问题的有效方法。基于城市道路交通系统随机性强、离散性连续性混杂、难以用数学模型精确建模等特点,提出了一种用连续Petri网建立道路交通流模型,用离散Petri网对道路交叉口信号灯进行控制的方案。根据车流量的动态变化,采用模糊控制对交叉口绿灯时间进行自适应优化。仿真结果表明,该方案能提高交叉口通行能力,减少车辆延误,优于传统的控制方法。

Fuzzy Optimization of Hybrid Petri Nets Model of Signal Intersection

The problem of signal intersection control to alleviate traffic jam is discussed.To the characters of urban traffic systems such as the highly stochastic,hybrid of discrete and consecutive properties,and the difficulty to establish an accurate mathematical model,the vehicle flow model is described by a continuous Petri nets while the traffic light dynamic model is controlled by a discrete Petri nets.The signal intersection is optimized by fuzzy logic control.Simulation examples show that the hybrid Petri nets model can improve the traffic capacity of the intersection and reduce the delay time of vehicles in comparison with traditional methods.