摘要
城市区域交通具有非线性、动态时变性、不确定性的特点,难以建立精确的数学模型。据此,针对小区域交叉口群过饱和状态,研究了基于模糊控制的信号协调优化方案。将现状交通控制下的交叉口群进口道最大排队长度和平均延误作为模糊控制的输入变量,将交叉口绿灯时间调整量作为输出变量,利用模糊C均值聚类获得输入变量的模糊集合和隶属度函数,通过一级模糊控制器和二级模糊控制器分别对区域交叉口群信号进行协调控制,达到减少区域最大排队长度和平均行车延误的目的。通过对武汉徐东商圈过饱和交通状态下的交叉口群进行多次协调控制,并对现状信号方案和协调信号方案进行Vissim微观仿真,交叉口群最大排队长度平均值由201m减少为63.6m,平均行车延误由110.62s减少为22.68s。
It is difficult to establish an accurate mathematical model for traffic in urban areas which have characteristics as nonlinear,dynamic time-varying,and uncertain.According to these,a coordination and optimization scheme for signals based on fuzzy control is proposed for over-saturated intersections in a small-area.The maximum queuing lengths and average delays at entrances of intersections under current scheme of traffic control are used as input variables for fuzzy control.The adjustment time of green signals at the intersections is regarded as output variable.The fuzzy sets and membership functions of input variables are obtained by fuzzy C-means clustering,and the signals of intersection groups in the small-area are coordinated and controlled by the first-level fuzzy controller and the second-level fuzzy controller respectively,in order to reduce the maximum queue length and average delay.A signal scheme with multiple coordinated controls is applied at an intersection group of Wuhan Xudong commercial circle with over-saturated traffic status.Vissim micro-simulation of the initial signal scheme and the coordinated signal scheme are implemented respectively.The average length of the maximum queue lengths at the intersection group is reduced from 201 mto 63.6 m,and the average traffic delay is reduced from 110.62 sto 22.68 s.
作者
赵盼明
刘钊
刘玉
郭建华
ZHAO Panming;LIU Zhao;LIU Yu;GUO Jianhua(Intelligent Transport System Research Center,Southeast University,Nanjing 210096,China)
出处
《交通信息与安全》
CSCD
北大核心
2018年第4期51-59,共9页
Journal of Transport Information and Safety
基金
国家自然科学基金项目(61573106)资助
关键词
交通控制
交叉口群
信号协调
模糊控制
过饱和状态
traffic control
intersection group
signal coordination
fuzzy control
over saturated state
