ANFIS实现的模糊神经网络在交通信号配时优化中的应用

Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization

  • 摘要: 提出一种使用Matlab中的ANFIS模糊神经网络(FNN)工具箱来对传统的模糊控制器进行参数优化的方法,改善了控制器中的隶属度函数形状及分布,并应用于城市单交叉路口的多相位信号配时上.仿真实验证明所提出的算法可以降低车辆平均延误时间,保证车队更顺畅地通过交叉路口.

     

    Abstract: A parameter-optimization algorithm is proposed to optimize parameters of traditional fuzzy controllers with ANFIS(adaptive neuro-fuzzy inference system),a fuzzy neural network toolkit in Matlab.This algorithm improves the shape and distribution of membership functions of the controllers,and is applied to multi-phase traffic signal timing for the urban isolated intersection.All simulation results prove that the proposed algorithm can reduce average vehicle delay time and the vehicles can pass through intersections more smoothly.

     

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