Forecasting the future positions of mobile users is a valuable task allowing us to operate
efficiently a myriad of different applications which need this type of information. We propose …

Urban human mobility prediction is forecasting how people move in cities. It is crucial for
many smart city applications including route optimization, preparing for dramatic shifts in …

Human mobility prediction techniques are instrumental for many important applications
including service management and city planning. Previous work looks at the inherent …

The prediction of an individual's future locations is a significant part of scientific researches.
While a variety of solutions have been investigated for the prediction of future locations …

The ability to predict when an individual mobile user will leave his current location and
where we will move next enables a myriad of qualitatively different Location-Based Services …

Leveraging the regularities of people's trajectories, mobility prediction can help forecast
social interaction opportunities. In this paper, in order to facilitate real-world social …

Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …

Mobility prediction enables appealing proactive experiences for location-aware services and
offers essential intelligence to business and governments. Recent studies suggest that …

Anticipating user mobility can be a critical feature for today's mobile systems. We introduce a
novel location predictor which incorporates knowledge of a user's potential future locations …

With the occurrence of large-scale human trajectories, which imply spatial and temporal
patterns, the subject of mobility prediction has been widely studied. A number of approaches …