… mobility management. We propose a method of mobility prediction, ie, predicting a mobile
user’… next location visited by a mobile user, given current and historical movement information. …

… Our results demonstrate that DeepMove outperforms state-of-the-art mobility prediction mod…
intuitive explanations into the prediction and sheds light on interpretable mobility prediction. …

… movement behaviour and predicting next location are non-trivial tasks. We consider the
human mobility pattern modeling and predicting … confluence of movement history (GPS traces) …

… user movements and utilizing available semantic information, prediction algorithms can
achieve higher accuracies. For example, based on a user’s mobility traces, we can predict lunch …

… We also find that false-positive predictions can be reduced by adaptive use of mobility …
prediction accuracy and cost of several mobility models using long-term user traces (Section V). …

… The main goal of this work is to evaluate the performance of movement prediction-based
models in terms of their efficiency and effectiveness for VANETs. We compare and evaluate the …

… We start with a discussion on the basic characteristics of data used in mobility analysis, route
and destination prediction, and the terminology used in this research domain, to provide a …

… prediction system which exploits the individual systematic behaviors modeled by mobility
profiles to predict human movements… uses only the user individual mobility profile, the collective …

… of human mobility analysis, the problem of motion prediction … prediction problem, focusing
on large-scale mobility traces of … and temporal regularity, making prediction analysis based on …

… [5], [6], human trace identification [7], traffic forecasting [8], emergency management [9], etc.
Human mobility prediction, which aims to predict where a user will arrive in the near future, is …