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Mobility Patterns

Cédric du MouzaContact Information and Philippe RigauxContact Information

(1)  CEDRIC lab., CNAM, 292 Rue St Martin, F-75141 Paris Cedex 03, France
(2)  LAMSADE lab., Univ. Paris-Dauphine, Place du Maréchal de Lattre de Tassigny, F-75775 Paris cedex 16, France

Published online: 8 November 2005

Abstract  We present a data model for tracking mobile objects and reporting the result of queries. The model relies on a discrete view of the spatio-temporal space, where the 2D space and the time axis are respectively partitioned in a finite set of user-defined areas and in constant-size intervals. We define a generic query language to retrieve objects that match mobility patterns describing a sequence of moves. We also identify a subset of restrictions to this language in order to express only deterministic queries for which we discuss evaluation techniques to maintain incrementally the result of queries. The model is conceptually simple, efficient, and constitutes a practical and effective solution to the problem of continuously tracking moving objects with sequence queries.

Keywords  mobility patterns - online evaluation - spatio-temporal applications


Contact Information Cédric du Mouza
Email: dumouza@cnam.fr

Contact Information Philippe Rigaux
Email: rigaux@lri.fr
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Referenced by
3 newer articles

  1. Celik, Mete (2008) . IEEE Transactions on Knowledge and Data Engineering 20(10)
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  2. Andersson, Mattias (2007) Reporting Leaders and Followers among Trajectories of Moving Point Objects. GeoInformatica
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  3. Stewart Hornsby, Kathleen (2007) Modeling Motion Relations for Moving Objects on Road Networks. GeoInformatica
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