Abstract:

         We construct a short term traffic volume forecasting model based on the analysis of the cause of the congestion of the urbanized section of a freeway and RBF neural network. It will provide basic theory and technical support for the evaluation of the service level and the traffic control and pilot of a freeway. We eventually verify the effectiveness of the model, taking Jingjintang freeway as an example. Result shows that the model is reasonable and feasible.

Key words: freeway, urbanized section, short term traffic volume forecasting, RBF neural network