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基于模糊神经网络的城市干道信号协调控制

Keywords: 交通工程,协调控制,模糊理论,城市干道,模糊神经网络

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Abstract:

利用递阶结构和模糊神经网络来进行交通系统的实时协调控制。其基本思想是把交通干线作为一个大系统。子系统为干线上的各交叉口,用模糊神经网络综合调控绿信比,相位差以及周期时长等3方面因素,在模糊神经网络控制器的设计中使用4层网络,将3种数据模糊化后输入,进而得到相应的输出结果,目的在于更好的协调交叉口间的信号,使得主干路的排队长度最小,从而减少车辆延误。最后将设计的控制器作用于北京市海淀区学院路与成府路和清华东路所构成的系统进行仿真研究,结果显示,该方法在减少主干道车辆延误的同时,综合考虑了次干道路段的需求,使得在减少车辆延误方面有较为显著的效果。

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