Transit Vehicle Dispatching Based on Genetic Algorithm-RBF Neural Network

Transit vehicle reasonable dispatching is very important to solve the congestion of traffic. Artificial neural network is the common dispatching method, among which RBF neural network is a feed-forward neural network with one hidden layer, which can uniformly approximate any continuous function to a prospected accuracy. In RBF neural network, the choice of the widths and centers of the Gaussian function, the output weights will affect the accuracy of RBF neural network model. In the paper, genetic algorithm is employed to determinate the RBF neural network´s parameters. The genetic algorithm-RBF neural network is studied and applied to transit vehicle dispatching. The experimental results show that the calculation results of GA-RBF neural network are consistent with actual results.