Autor segons l'article: Reyes, Gary; Lanzarini, Laura; Hasperue, Waldo; Bariviera, Aurelio F.;
Departament: Gestió d'Empreses
Autor/s de la URV: Fernández Bariviera, Aurelio
Paraules clau: Time Similarity Perspective Patterns Pattern recognition Machine learning (artificial intelligence) Gps data Geographic information science Distance Data and data science Artificial intelligence and advanced computing applications
Resum: Given the large volume of georeferenced information generated and stored by many types of devices, the study and improvement of techniques capable of operating with these data is an area of great interest. The analysis of vehicular trajectories with the aim of forming clusters and identifying emerging patterns is very useful for characterizing and analyzing transportation flows in cities. This paper presents a new trajectory clustering method capable of identifying clusters of vehicular sub-trajectories in various sectors of a city. The proposed method is based on the use of an auxiliary structure to determine the correct location of the centroid of each group or set of sub-trajectories along the adaptive process. The proposed method was applied on three real databases, as well as being compared with other relevant methods, achieving satisfactory results and showing good cluster quality according to the Silhouette index.
Àrees temàtiques: Transportation science & technology Transportation Mechanical engineering Engineering, civil Engenharias iii Engenharias ii Engenharias i Civil and structural engineering
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: aurelio.fernandez@urv.cat
Identificador de l'autor: 0000-0003-1014-1010
Data d'alta del registre: 2024-09-07
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://journals.sagepub.com/doi/abs/10.1177/03611981211058429?journalCode=trra
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Transportation Research Record. 2676 (4): 281-295
Referència de l'ítem segons les normes APA: Reyes, Gary; Lanzarini, Laura; Hasperue, Waldo; Bariviera, Aurelio F.; (2022). Proposal for a Pivot-Based Vehicle Trajectory Clustering Method. Transportation Research Record, 2676(4), 281-295. DOI: 10.1177/03611981211058429
DOI de l'article: 10.1177/03611981211058429
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications
Repositori URV