基于模糊逻辑交通信号优化控制算法

Research of traffic signal optimized control algorithm based on fuzzy logic

提出了基于模糊逻辑单交叉口信号变相位控制算法,并实现了仿真.传统的信号控制方法,仅考虑了相位时间的优化,而忽略了对相位组合的优化,以现实中常用的4相位信号控制为例,通过研究发现,在不改变原来4相位相序的前提下,通过灵活的相位组合,可以获得更好的控制效果.与传统交叉路口信号模糊控制的方法相比,交通信号变相位控制的相位组合、相位时间更加灵活,更适应城市交叉口实时变化的交通状况.以典型的十字路口为对象,选用不同时段的交通流状况进行仿真实验,研究结果表明,对于交通流量不平衡的交叉口来说,信号变相位模糊控制的效果要优于传统的模糊控制,能够减少车辆延误时间,是进行城市交叉口信号控制的一种实用和有效的算法.

Presents signal changed phase control algorithm for single intersection based on fuzzy logic and finishes the simulation. The traditional signal control algorithms are concerned about optimization of phases＇ time and ignore optimization of phases＇ combination. Take example for four-phase signal control used commonly in real world, research discovers that flexible combination of phases can acquire better control results under the premise of unchanged old order of four phases. Compared with traditional signal fuzzy control method for single intersection, signal changed phase control algorithm possesses flexible phase combination and phase time, it adapts to the real-time change of traffic status in the intersection very well. Simulation is finished based on the typical the four corners and traffic flow in different stages, the result indicates that signal changed phase fuzzy control is prior to traditional fuzzy control for the intersection of uneven traffic flow and it can reduce vehicle delay time greatly. The proposed algorithm is practicable and useful for city intersection signal control.