Research on Method of the Subsection Learning of Double-Layers BP Neural Network in Prediction of Traffic Volume

Prediction of traffic volume is the key technology in intelligent transportation systems. BP neural network is universally used in prediction of traffic volume. This research aimed at advancing BP neural networkpsilas precision in prediction of traffic flow. The method of prediction of traffic volume was based on the subsection learning of double-layers BP neural network. The improved method was used to predict the traffic volume of Jingshi road Jinan city, then compared the results maked by subsection-learning method and by common method. Using subsection-learning method,the average relative tolerance was decreased by 2.52%. The improved BP neural network can be used to predict the traffic volume.