A Spatiotemporal Location Prediction Method of Moving Objects Based on Path Data

User adaptive services have been important features in many applications. To provide such services, various techniques with various kinds of data are being used. In this paper, we propose a method to analyze user`s past moving paths and predict the goal position and the path to the goal by observing the user`s current moving path. We develop a spatiotemporal similarity measure between paths. We choose a past path which is the most similar to the current path using the similarity. Based on the chosen path, user`s spatiotemporal position is estimated. Through experiments we confirm this method is useful and effective.