Multi-scale Traffic Data Fusion Method for Urban Expressway

In order to guarantee the quality of dynamic traffic data on the original data level, by simultaneous sampling with different sampling rates, the multi-detector dynamic system of urban expressway was constructed and the multi-detector dynamic system was analyzed by using wavelet transform. Then, the multi-scale traffic data fusion method based on wavelet transform and Kalman filter was proposed. Finally, validation and comparative analysis were carried out by using actual data measured from the north-south viaduct in Shanghai. Experiment results indicate that when the stochastic noise intensity is 2.5%, 5.0%, 7.5% and 10.0% respectively, the data fusion effects of the proposed method are superior to that of the compared methods.