Research on method of double-layers BP neural network in prediction of crossroads' traffic volume

Abstract

Intelligent transportation systems(ITS) is effective on solving the problem of traffic jam in cities. Prdiction of crossroads' traffic volume is the key technology in ITS. BP neural network is universally used in prediction of crossroads' traffic volume. This research aimed at using double-layers BP neural network to predict the traffic volume of Lishan Crossroad Jinan City. Results of the computer simulation showed that the method was applicable, the average relative tolerance was 9.71%. The doble-layers BP neural network can be used for prediction of crossroads' traffic volume. © 2009 Springer Berlin Heidelberg.