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Travel time prediction is an indispensable for numerous intelligent transportation systems (ITS) including advanced traveler information systems. The main purpose of this research is to develop a dynamic travel time prediction model for road networks. In this study we proposed a new method to predict travel times using Artificial Neural Network model because artificial neural network has exhibited high accuracy and speed when applied to large databases. In addition, we compare the proposed method with such prediction methods as link-based prediction model and time varying coefficient linear regression model. It is shown from our experiment that ANN predictor can reduce mean absolute relative error significantly rather than the other predictors. We illustrate that ANN is suitable and performs well for traffic data analysis.

A New Travel Time Prediction Method for Intelligent Transportation System