城市路网交通分散协调控制

Distributed and Cooperative Control for Urban Road Network Traffic

  • 摘要: 针对城市路网交通系统规模大和非线性、不确定性强等特点,利用模糊神经网络设计了一种新的实时分散协调控制算法.把城市区域和市内快速公路作为一个路网大系统,子系统为路网中的各个交叉口;每个子系统都有一个模糊神经网络控制器,该控制器根据它自己和相邻子系统的交通流信息来动态管理相序及绿灯时间.控制器由3个模块组成:相序选择模块、绿灯判断模块和相位切换模块.控制器的控制目标是保持快速公路主线密度均衡和区域内各车辆平均延误时间最短.仿真研究表明,该算法能有效处理各种路网交通环境.

     

    Abstract: According to the nonlinear,uncertain and large scale characteristics of urban road network system,a novel distributed and cooperative control algorithm based on fuzzy neural network is designed.The urban region and the expressway traffic are regarded as a large scale system,and the subsystems are the intersections in the region.Each subsystem has its own fuzzy neural network controller which manages the phase sequence and the time length of green phase dynamically according to its own and its neighbor's traffic situations.The controller consists of three modules:the phase sequencer,the green phase decider and the phase switch.The control objective is to make the expressway unblocked and the average vehicle delay time of networks shortest.Simulation result shows that the control algorithm can deal with all traffic conditions of urban road network in an effective way.

     

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