Future Location and Trajectory Prediction

Abstract

This chapter presents modern approaches and frameworks for predicting trajectories with detailed descriptions of three main research pillars. The first pillar is the problem formulation regarding two complementary tasks, namely the Future Location Prediction (FLP) and the Trajectory Prediction (TP). The second pillar tackles the issue of effectiveness, efficiency, and scalability for the corresponding predictive analytics models for big fleets of moving objects. Finally, the third pillar takes into account historical patterns and semantically rich contextual information, so as to improve the prediction accuracy, especially for long-term time windows. The overall assessment of these methods shows that the suite of FLP and TP algorithms developed addresses all the major prediction challenges regarding mobility patterns in terms of points or trajectories, respectively. It is expected that these modeling approaches can be transferred to other domains of similar challenges and with similar success.