Author, as appears in the article.: Reyes G; Lanzarini L; Estrebou C; Bariviera A
Department: Gestió d'Empreses
URV's Author/s: Fernández Bariviera, Aurelio
Keywords: Vehicular trajectories Dynamic clustering Data stream
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 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.
Thematic Areas: Software Hardware and architecture Computer vision and pattern recognition Computer science, artificial intelligence Computer science applications Computer science (miscellaneous) Artificial intelligence
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: aurelio.fernandez@urv.cat
Author identifier: 0000-0003-1014-1010
Record's date: 2024-09-07
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Journal Of Computer Science & Technology (Jcs&t). 22 (2): 141-150
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
Article's DOI: 10.24215/16666038.22.e11
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications