公交优先的交通信号多层模糊控制模型

针对城市交通信号控制及公交优先问题,首先提出了一种基于交通需求强度的单路口多层模糊控制模型。第一层用来判断路口的交通需求强度,第二层主要完成相位优化功能,第三层用来确定各个相位的有效绿灯时间。进而考虑公交优先将模型扩展为公交优先的交通信号多层模糊控制模型,给出了模型结构与控制方法。仿真结果表明,与定时公交优先控制模型相比,该文提出的公交优先的多层模糊控制模型在交通量较大情况下能有效减少公交车辆延误,可应用于未来的信号控制系统中。

Bus-priority traffic signal multi-layer fuzzy control model

A multi-layer fuzzy controller was developed for intersection traffic signal control based on the traffic demand intensity. The first layer in the controller determines the traffic demand intensity for each approach and phase. The second layer is the phase optimization layer which determines the phase sequence of the intersection. The traffic demand intensities and phase sequences are then used in the third layer to determine whether the current signal phase should be extended or terminated. The bus-priority controller was then based on the multi-layer fuzzy control model. The simulation result shows that the bus-priority fuzzy controller gives better performance than the fixed-time traffic signal control model by reducing average bus delays at intersections.