Autor según el artículo: Reyes G; Lanzarini L; Estrebou C; Bariviera A
Departamento: Gestió d'Empreses
Autor/es de la URV: Fernández Bariviera, Aurelio
Palabras clave: Vehicular trajectories Dynamic clustering Data stream
Resumen: 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 mon-itor and control vehicular movements by collecting GPS trajectories, which provides the geographic lo-cation 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, identifying speed ranges and keeping an interactive map updated that facilitates the identification of pos-sible traffic jam areas. The obtained results on three data sets from the cities of Guayaquil-Ecuador, Rome-Italy and Beijing-China are satisfactory and clearly represent the speed of movement of the vehicles, auto-matically identifying the most representative ranges in real time.
Áreas temáticas: Software Hardware and architecture Computer vision and pattern recognition Computer science, artificial intelligence Computer science applications Computer science (miscellaneous) Artificial intelligence
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: aurelio.fernandez@urv.cat
Identificador del autor: 0000-0003-1014-1010
Fecha de alta del registro: 2023-02-19
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Computer Science & Technology (Jcs&t). 22 (2): 141-150
Referencia de l'ítem segons les normes 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
DOI del artículo: 10.24215/16666038.22.e11
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications
Repositori URV