The City Traffic Flow Prediction And Cross Analysis Based On BP Neural Network

In traffic field, Neural Network has good advantage in the non-linear Neural Network , and it' s specially good at problem perfectly solving the traffic in the field of the forward flow forecasting. For the reason that the training speed and predict precision is being higher and higher, apply Neural Network to traffic field is a intelligent choice.Short—term traffic flow prediction is the basis of dynamic traffic control and guidance.The paper base on dynamic traffic controltheory, use Neural network and MATLAB software, analysis traffic flow data and build the prediction model of short—term traffic flow. At the end of this paper, simulation experiments of this algorithmare illusrated, the result of which proves the applicability and the limitation.