MyWay: location prediction via mobility profiling

Trasarti R., Guidotti R., Monreale A., Giannotti F.

Trajectory Prediction  Information Systems  Data Mining  Hardware and Architecture  Software  Database Applications  Mobility Data Mining 

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 MyWay, a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the individual strategy uses only the user individual mobility profile, the collective strategy takes advantage of all users individual systematic behaviors, and the hybrid strategy that is a combination of the previous two. A key point is that MyWay only requires the sharing of individual mobility profiles, a concise representation of the user's movements, instead of raw trajectory data revealing the detailed movement of the users. We evaluate the prediction performances of our proposal by a deep experimentation on large real-world data. The results highlight that the synergy between the individual and collective knowledge is the key for a better prediction and allow the system to outperform the state-of-art methods.

Source: Information systems (Oxf.) 64 (2017): 350–367. doi:10.1016/j.is.2015.11.002

Publisher: Pergamon,, Oxford , Regno Unito

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