基于模糊神经网络的城市轨道交通行车组织问题研究

Organization of Urban Rail Transit Based on Fuzzy Neural Network

将模糊神经网络算法这一智能方法应用于城市轨道交通行车组织问题研究上,通过智能方法弥补传统方法实时性差、灵活性差、调整慢等不足问题。研究讨论时间间隔控制,通过AFC终端系统取得排队等待人数,将其模糊化,运用神经网络算法进行运算,最终确定一个输出,即等待时间,以此进行实时控制。带入算例实验仿真,证明以上方法应用于城市轨道交通行车组织中是可行的。

In this paper, an intelligent method, fuzzy neural network, was used to carry out research on the organization of urban rail transit, by using the intelligent method to compensate the problem of poor real-time, poor flexibility and slow adjustment for the traditional method. In this paper, focused on the control of time interval, the number of people waiting in line by AFC terminal system was obtained. By fuzzing that, neural network algorithm was used for a finalized output which was waiting time and realizes real-time control It was proved by simulation and experiments that this method was suitable for the organization of urban rail transit.