【作者】 臧利林； 贾磊； 林忠琴；

【Author】 Zang Lilin, Jia Lei, Lin Zhongqin(School of Control Science and Engineering, Shan Dong University, Ji’nan 250061; Institute of Jinan Traffic Scientific Research, Ji’nan 250100)

【机构】 山东大学控制科学与工程学院； 济南市交通科研所；

【摘要】 提出了基于相序优化的城市交通单交叉口信号模糊控制算法,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,而忽略了对相位顺序的优化,以现实中常用的四相位信号控制为例,通过研究发现,在不改变原来四相位相序的前提下,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,本文研究的算法其相位组合、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,基于相序优化的模糊控制算法要优于传统的模糊控制方法,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。更多还原

【Abstract】 The paper presents a signal fuzzy control algorithm for urban traffic based on optimization of phases’ order and finishes the simulation. The traditional signal control algorithms are concerned about optimization of phases’ time and ignore optimization of phases’ order. 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, the algorithm possesses flexible phase combination and phase time in the paper, 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 fuzzy control algorithm based on optimization of phases’ order is prior to traditional fuzzy control method for the intersection of uneven traffic flow, it can reduce vehicle delay time greatly and is practicable and useful for city intersection signal control.更多还原