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Authors: Michael Kölle ; Steffen Illium ; Carsten Hahn ; Lorenz Schauer ; Johannes Hutter and Claudia Linnhoff-Popien

Affiliation: Institute of Informatics, LMU Munich, Oettingenstraße 67, Munich, Germany

Keyword(s): Trajectory Compression, Autoencoder Model, LSTM Networks, Location Data.

Abstract: The ubiquitous availability of mobile devices capable of location tracking led to a significant rise in the collection of GPS data. Several compression methods have been developed in order to reduce the amount of storage needed while keeping the important information. In this paper, we present an lstm-autoencoder based approach in order to compress and reconstruct GPS trajectories, which is evaluated on both a gaming and real-world dataset. We consider various compression ratios and trajectory lengths. The performance is compared to other trajectory compression algorithms, i.e., Douglas-Peucker. Overall, the results indicate that our approach outperforms Douglas-Peucker significantly in terms of the discrete Fréchet distance and dynamic time warping. Furthermore, by reconstructing every point lossy, the proposed methodology offers multiple advantages over traditional methods.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kölle, M.; Illium, S.; Hahn, C.; Schauer, L.; Hutter, J. and Linnhoff-Popien, C. (2023). Compression of GPS Trajectories Using Autoencoders. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 829-836. DOI: 10.5220/0011782100003393

@conference{icaart23,
author={Michael Kölle. and Steffen Illium. and Carsten Hahn. and Lorenz Schauer. and Johannes Hutter. and Claudia Linnhoff{-}Popien.},
title={Compression of GPS Trajectories Using Autoencoders},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={829-836},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011782100003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Compression of GPS Trajectories Using Autoencoders
SN - 978-989-758-623-1
IS - 2184-433X
AU - Kölle, M.
AU - Illium, S.
AU - Hahn, C.
AU - Schauer, L.
AU - Hutter, J.
AU - Linnhoff-Popien, C.
PY - 2023
SP - 829
EP - 836
DO - 10.5220/0011782100003393
PB - SciTePress

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