Next place prediction using mobility Markov chains

Sébastien Gambs, Marc Olivier Killijian, Miguel Núñez Del Prado Cortez

Research output: Contribution to conferencePaper

264 Scopus citations

Abstract

In this paper, we address the issue of predicting the next location of an individual based on the observations of his mobility behavior over some period of time and the recent locations that he has visited. This work has several potential applications such as the evaluation of geo-privacy mechanisms, the development of location-based services anticipating the next movement of a user and the design of location-aware proactive resource migration. In a nutshell, we extend a mobility model called Mobility Markov Chain (MMC) in order to incorporate the n previous visited locations and we develop a novel algorithm for next location prediction based on this mobility model that we coined as n-MMC. The evaluation of the efficiency of our algorithm on three different datasets demonstrates an accuracy for the prediction of the next location in the range of 70% to 95% as soon as n = 2.
Original languageEnglish
DOIs
StatePublished - 14 May 2012
Externally publishedYes
EventProceedings of the 1st Workshop on Measurement, Privacy, and Mobility, MPM'12 -
Duration: 14 May 2012 → …

Conference

ConferenceProceedings of the 1st Workshop on Measurement, Privacy, and Mobility, MPM'12
Period14/05/12 → …

Keywords

  • clustering
  • Markov chain
  • mobility model
  • next location prediction

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