This study aims to predict human movement from a spatio-temporal perspective by taking into account the impact of activity changes. We analyze and define ...

This study aims to predict human movement from a spatio-temporal perspective by taking into account the impact of activity changes.

Oct 22, 2024 · This study aims to predict human movement from a spatio-temporal perspective by taking into account the impact of activity changes. We analyze ...

This study aims to predict human movement from a spatio-temporal perspective by taking into account the impact of activity changes.

By relying on spatial trajectories, we are able to predict human mobility and better assess the confidence level of our predictions. Based on the preprocessing ...

Sep 4, 2024 · In this work, we explore how temporal, activity and location variations in individual-level mobility—referred to as predictability states—carry ...

Mar 19, 2024 · Modeling human mobility helps to understand how people are accessing resources and physically contacting with each other in cities, and thus ...

Jan 1, 2015 · This study aims to predict human movement from a spatio-temporal perspective by taking into account the impact of activity changes. We analyze ...

To this end, in this paper, we propose a Time-stamped Activity INference Enhanced Predictor (TAINEP) for forecasting next location on activity trajectories.

Predictive models for human mobility have important applications in many fields such as traffic control, ubiquitous computing and contextual advertisement.