The Forecasting Approach for Short-term Traffic Flow Based on Wavelet Analysis and Neural Network

The method based on wavelet analysis and neural network for short-term traffic flow forecasting is presented.The multidimensional inputs are decompounded by wavelet analysis and the forecasting is implemented by several sub neural networks independently.It resolves the dimension-disaster problem effectively in multidimensional neural network mapping.The demonstration results show that the method can evidently decrease prediction error and improve forecasting veracity compared with typical neural network.