DBPapers
DOI: 10.5593/SGEM2014/B21/S8.087

LEARNING MOVEMENT HABITS BASED ON GPS TRACKLOGS IN MOBILE ENVIRONMENT

M. Feher, B. Forstner
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 675-682 pp

ABSTRACT
In this paper we are introducing methods applicable in mobile environment (e.g. smartphones) for comparing GPS track-logs of human subjects and identifying regions of space where trajectories are close to each other. Our research focuses on comparing routes of human subjects, extracted from GPS track-logs, in order to identify spatially and/or temporally repeating patterns. In this paper we are introducing an indexing mechanism called double-mesh, which was designed to support efficient locating of not only similar trajectories, but sub-trajectories as well. Our proposed method is capable of determining common zones of any number of trajectories with linear complexity over the number of GPS points.

Keywords: Algorithm, GPS, tracklog, trajectory

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