A Destination Prediction Model Based on Historical Data, Contextual Knowledge and Spatial Conceptual Maps
Mobile wireless network technology has enabled the development of increasingly diverse applications and devices resulting in an exponential growth in usage and services. One challenge in mobility management is the movement prediction. Prediction of the user's longer-term movement (e.g., 10 min in advance) with reasonable accuracy is very important to a broad range of services. To cope with this challenge, this paper proposes a new method to estimate a user's future destination, called Destination Prediction Model (DPM).