A NEURAL NETWORK MODEL FOR ESTIMATION OF TRAFFIC CONGESTION ON URBAN EXPRESSWAYS

The varied law of traffic congestion of an urban expressway in Japan is described in this paper. A neural network model for the estimation of traffic congestion is given, and is tested by the data from actual survey. Compared to the results from the model of linear regression analysis, this model has higher precision and better adaptability.