Study of trip time prediction based on urban trip information service platform

This paper overviews home and abroad time estimation technology and methods for vehicle travel, then it puts forward trip time estimation model for buses based on urban bus travel information service platform. Considered walking time, waiting time and travel time, the linear regression model was built to predict travel time. As an example, Beijing Bus 300 is illustrated. The result shows that the model has superior prediction precision; therefore it would be valuable to integrate this forecast result to travel information service platform. Moreover, the algorithm and structure of this model is very simple, it could be transplanted to other rapid transit.