Road Traffic Volume Forecast Based On Wavelet And Fourier Transform

The traffic volume predicting is very important to the traffic management. This paper carry on deeply theory and method research about the traffic volume predicting based on the analyzes of the present situation in the domestic and foreign research. At the same time, this paper carries out the practical applicationin. The main content of this paper is as following:First, beacuse there are massive unusual data in the road traffic volume time series, this paper proposed the recognition and the revision method of it based on the wavelet transformation mold maximum value after elaborating the basic principle of the wavelet transformation.This method utilizes theorise related on the wavelet transformation and statistics, and it has obtained the good effect in reality.Second, for the much using of the wavelet transformation in the forecast, and facing the question of the boundary error made from the time series wavelet decomposes by the Mallat algorithm, this paper proposed the time series extension method which based on the biggest energy cycle. Through use it in extension of the actual data then forecast and compared the forecast result with that of extension by other method such as symmetry extension, makes up the zero extension, function interpolation extension, it indicated that the biggest energy cycle time series extension method is the very suitable for road traffic time series and is able to reduce the forecast error.Third, in view of the massive noises in the road traffic volume time series, this paper proposed one improvement method to decide the value ofσin road traffic volume sequence denoise after the discussion of denosie theory. And a compare analysis between this method with other deterministic methods is carried on about the forecast result. Simultaneously the stand or fall of the soft threshold value, the hard threshold value, the nearly hard threshold value in road traffic volume time series denoise has been analyzed.Fourth, a wavelet decomposition combination forecast method is proposed to predict the road future traffic volume. After the road traffic time series is decomposed by wavelet and denoised, , this article has carried on the detailed...