针对城市交通控制系统的缺陷和不足,将基于网络的控制方法引入道路交通控制系统,并建立整合模糊控制和神经网络的模糊神经网络的控制模型,实现了控制系统的智能化、低成本,为现有的道路交通控制提供了一种新的解决思路.%In view of the deficiency and inadequacy of existing urban traffic control systems, the paper introduces the network-based control technology and establishes a fuzzy neural network control model which realizes intelligent control and cost reduction and provides a new perspective for road traffic regulation and control.
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