城市区域交通智能控制研究

Study on Intelligent Control for Urban Region Traffic

  • 摘要: 利用模糊神经网络对城市区域交通进行实时分散控制.把区域交通作为一个大系统,子系统为区域中的各个交叉口,每个交叉口有一个控制器,该控制器根据它自己和相邻交叉口的交通流信息来动态管理绿灯相位及绿灯时间.仿真研究表明:在交通流量较大和流量时变的环境下,该方法比普通车辆感应控制方法控制效果更好.

     

    Abstract: We use the fuzzy neural networks to solve the real time region traffic distributed control problem.The region traffic is regarded as a large scale system and the subsystems are the intersections in the region.Each intersection has its own traffic controller which manages the green phase and the phase length dynamically according to its own and its neighbor's traffic situations.The simulation shows this method has better performances in the cases of time-varying traffic patterns and heavy traffic conditions than the vehicle actuated method.

     

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