A practical model of dynamic forecasting of urban ring road traffic flow

A practical model of dynamic forecasting of urban ring road traffic flow based on neural network is proposed in this paper, and the traffic flow data of Beijing Third-Ring-Road (BTRR) are explored to test the validity of the model. The experimental results show that the forecasting data obtained by the model correspond to the actual data basically.