Understanding and predicting human mobility is vital to a large number of applications,
ranging from recommendations to safety and urban service planning. In some travel …

Predicting the arrival and residence time of individuals at their relevant places enables a
plethora of novel applications. In this work we first analyze the theoretical predictability of …

We put forth a system, to predict distant-future positions of multiple moving entities and index
the forecasted trajectories, in order to answer predictive queries involving long time …

The ability to predict human mobility, ie, transitions between a user's significant locations
(the home, workplace, etc.) can be helpful in a wide range of applications, including targeted …

Location has played a very important role in pervasive computing systems. Beyond the
current location, knowing an individual's next location in advance can also enable many …

Predicting user behavior makes it possible to provide personalized services. Destination
prediction (eg predicting a future location) can be applied to various practical applications …

Predictive models for human mobility have important applications in many fields including
traffic control, ubiquitous computing, and contextual advertisement. The predictive …

Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …

Understanding and predicting human mobility is a crucial component of a range of
administrative activities, from transportation planning to tourism and travel management. In …

Several algorithms to predict the next place visited by a user have been proposed in the
literature. The accuracy of these algorithms--measured as the ratio of the number of correct …