It is of great significance for scenic spots to establish an accurate prediction model which can reflect on tourist flow and has quantitative relation with other factors. For this reason, a tourist traffic prediction method is proposed based on the RBF neural network. This method has greatly improved work efficiency, provided guarantee for the stability of numerical tourist traffic prediction.