Vol.11, No.4, November 2022.                                                                                                                                                                              ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

An Approach to the Similarity Between Trajectories


Francisco Javier Moreno Arboleda, Jaime Guzmán Luna, Juan Felipe Valencia Carvajal


© 2022 Francisco Javier Moreno Arboleda, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 11, Issue 4, Pages 1758-1767, ISSN 2217-8309, DOI: 10.18421/TEM114-42, November 2022.


Received: 30 August 2022.

Revised:   08 Octobar 2022.
Accepted:  18 October 2022.
Published: 25 November 2022.




The trajectory of an object that moves in a space during a time interval describes its movement. Trajectories can be grouped by similarity according to different criteria, e.g., their shape, speed, distance travelled, duration, and visited sites, among others. These criteria have typically been approached separately, with few works considering the combination of criteria to measure similarity between trajectories. In this paper, we analyse several methods to calculate the similarity between trajectories. The most representative proposals are analysed in detail to identify lines of research. The analysis focuses especially on the proposals that consider semantic aspects for determining similarity, e.g., the categories of visited sites, and the combination of criteria. By means of two motivating examples, we show that the similarity between trajectories: i) is not a trivial notion and ii) can be useful in fields such as marketing, tourism, traffic, and animal monitoring, among others.


Keywords – – Trajectory, similarity, moving objets, spatio-temporal databases.



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