Prediction of the Traffic Volume of Henan Province with a BP Neural Network

摘要

This paper describes the construction of BP neural network model which was used to forecast highway Cargo traffic volume and predicts the highway cargo traffic volume in 2013, it was also used to predict the highway passenger traffic volume, railway cargo traffic volume, passenger traffic volume and their corresponding turn over. The purpose is to provide a scientific and objective reference for the construction of terminal layout and scale of investment of highway and railway traffic routes and stations in Henan province.