A TRAVEL TIME ESTIMATION MODEL FOR ROUTE GUIDANCE SYSTEMS

This paper first presents an analysis of travel time estimation methods. This is followed by focusing on a real-time isoparametric ration travel time prediction model that is based on Kalman filtering theory. The model is able to predict travel time by using detected traffic volume on the basic link in urban transportation networks. Test results show that the model has no lagged prediction and no oscillatory forecasting patterns.