Application of power function on short-term traffic flow prediction
LI Nin · Computer Engineering and Applications Journal · 2013
Traffic flow is a non-linear time series with obvious noise. For this feature, a conversion method using power function is proposed to the time series, after the transformation, the noise than the original signal will be a greater degree of compression. And reduce the adverse effects of the predicted results. Use LS-SVM to compensation loop for the prediction of ARIMA.Use the inverse transform method to restore the signal output. The results show that the combination model based on the conversion of power function possesses satisfactory accuracy.