Articles producció científicaGestió d'Empreses

Agrupamiento din ́amico de trayectorias vehiculares

  • Identification data

    Identifier:  imarina:9447439
    Authors:  Reyes, G; Lanzarini, L; Estrebou, C; Bariviera, A
    Abstract:
    Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; therefore, the analysis of vehicle flow data becomes a relevant research topic. Intelligent Transportation Systems monitor and control vehicular movements by collecting GPS trajectories, which provides the geographic location of vehicles in real time. Thus information is processed using clustering techniques to identify vehicular flow patterns. This work presents a methodology capable of analyzing the vehicular flow in a given area, real time.
  • Others:

    Link to the original source: https://journal.info.unlp.edu.ar/JCST/article/view/2059
    APA: Reyes, G; Lanzarini, L; Estrebou, C; Bariviera, A (2022). Dynamic grouping of vehicle trajectories. Journal of Computer Science & Technology (JCS&T), 22(2), 141-150. DOI: 10.24215/16666038.22.e11
    Paper original source: Journal of Computer Science & Technology (JCS&T). 22 (2): 141-150
    Article's DOI: 10.24215/16666038.22.e11
    Journal publication year: 2022-10-01
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2026-05-02
    URV's Author/s: Fernández Bariviera, Aurelio
    Department: Gestió d'Empreses
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Reyes, G; Lanzarini, L; Estrebou, C; Bariviera, A
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Software, Hardware and architecture, Computer vision and pattern recognition, Computer science, artificial intelligence, Computer science applications, Computer science (miscellaneous), Artificial intelligence
    Author's mail: aurelio.fernandez@urv.cat, aurelio.fernandez@urv.cat
  • Keywords:

    Vehicular trajectories
    Vehicu-lar trajectorie
    Sustainable cities and communities
    Dynamic clustering
    Data stream
    Artificial Intelligence
    Computer Science (Miscellaneous)
    Computer Science Applications
    Computer Science
    Computer Vision and Pattern Recognition
    Hardware and Architecture
    Software
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