Based on Wavelet Analysis—Fuzzy Neural Network Real Time Traffic Flow Prediction
This paper analyses the advantages and disadvantages of Prediction Model of wavelet analysis and fuzzy neural network model in real-time traffic prediction, proposes the traffic flow forecasting model based on wavelet analysis and fuzzy neural networks, uses the frequency components of the model of traffic flow time series for forecasting and finally induces the forecast results. Finally, it verifies the effectiveness of traffic simulation data validation model.
KeywordsWavelet analysis Fuzzy neural network Component ANFIS Forecast model
This work was supported by Hainan Natural Science Foundation of China (No. 617172).
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