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Authors: Radu Mariescu-Istodor ; Andrei Tabarcea ; Rahim Saeidi and Pasi Fränti

Affiliation: School of Computing and University of Eastern Finland, Finland

Keyword(s): GPS Trajectory, Spatial Similarity, MGRS, Cell Approximation, Sampling Frequency, Interpolation, Dilation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Internet Technology ; Sensor Networks ; Signal Processing ; Soft Computing ; Web Geographical Information Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Programming

Abstract: We attack the problem of trajectory similarity by approximating the trajectories using a geographical grid based on the MGRS 2D coordinate system. We propose a spatial similarity measure which is computationally feasible for big data collections. The proposed measure is based on cell matching with a similarity metric drawn from Jaccard index. We equip the proposed method with interpolation and dilation to overcome the problems missing data and different sampling frequencies when comparing two trajectories. The proposed measure is implemented online in the framework of Mopsia.

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Paper citation in several formats:
Mariescu-Istodor, R.; Tabarcea, A.; Saeidi, R. and Fränti, P. (2014). Low Complexity Spatial Similarity Measure of GPS Trajectories. In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST; ISBN 978-989-758-023-9; ISSN 2184-3252, SciTePress, pages 62-69. DOI: 10.5220/0004940500620069

@conference{webist14,
author={Radu Mariescu{-}Istodor. and Andrei Tabarcea. and Rahim Saeidi. and Pasi Fränti.},
title={Low Complexity Spatial Similarity Measure of GPS Trajectories},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST},
year={2014},
pages={62-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004940500620069},
isbn={978-989-758-023-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST
TI - Low Complexity Spatial Similarity Measure of GPS Trajectories
SN - 978-989-758-023-9
IS - 2184-3252
AU - Mariescu-Istodor, R.
AU - Tabarcea, A.
AU - Saeidi, R.
AU - Fränti, P.
PY - 2014
SP - 62
EP - 69
DO - 10.5220/0004940500620069
PB - SciTePress

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