Abstract:

Considering the superiority of the wavelet theory in dealing with the timevarying informations, a combined method was proposed based on the wavelet analysis and the BP neural network to predict the trend of the traffic parameters more accurately. The new method is characterized by general adaptability because of the strategy combining the wavelet theory and the neural network. It is simpler than the traditional waveletbased combined method, providing the possibility of application in the realtime large amount computation. The method was verified by the practical traffic data and compared with the traditional equivalence. The results show that the proposed method leads to better prediction, is applicable for the real condition.

Key words: engineering of communications and transportation, traffic parameter prediction, combined prediction, wavelet analysis, BP neural network