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.
Published in:
Intelligent Transportation Systems, 2005. Proceedings. 2005 IEEE
Date of Conference: 13-15 Sept. 2005