Study on the Synthetic Link Travel Time Prediction Model of Key Theory of ITS

Travel time prediction is one of important problems of ITS research. Some predictive models including historic profile approaches, non parametric regression, time series, neural networks, Kalman filtering, traffic simulation and dynamic traffic assignment models, etc., have been established. None of them can obtain satisfactory predictive results at any time of day and/or under different traffic conditions. On the basis of overviewing the existing prediction models, a synthetic model is proposed.