Autor según el artículo: Reyes G; Lanzarini L; Hasperué W; Bariviera AF

Departamento: Gestió d'Empreses

Autor/es de la URV: Fernández Bariviera, Aurelio

Palabras clave: Segmentation Perspective Intelligent transportation systems Gps trajectories Distance Clustering

Resumen: © 2020 - IOS Press and the authors. All rights reserved. Technological progress facilitates recording and collecting information on vehicles' GPS trajectories on public roads. The intelligent analysis of this data leads to the identification of extremely useful patterns when making decisions in situations related to urbanism, traffic and road congestion, among others. This article presents a GPS trajectory clustering method that uses angular information to segment the trajectories and a similarity function guided by a pivot. In order to initialize the process, it is proposed to segment the region to be analyzed in a uniform way forming a grid. The obtained results after applying the proposed method on a real trajectories database are satisfactory and show significant improvement in comparison with the methods published in the bibliography.

Áreas temáticas: Statistics and probability Interdisciplinar General engineering Ensino Engineering (miscellaneous) Engineering (all) Engenharias iv Engenharias iii Economia Computer science, artificial intelligence Ciências ambientais Ciência da computação Biotecnología Artificial intelligence Administração pública e de empresas, ciências contábeis e turismo

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 10641246

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/acceptedVersion

Enlace a la fuente original: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs179644

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Journal Of Intelligent & Fuzzy Systems. 38 (5): 5529-5535

Referencia de l'ítem segons les normes APA: Reyes G; Lanzarini L; Hasperué W; Bariviera AF (2020). GPS trajectory clustering method for decision making on intelligent transportation systems.

DOI del artículo: 10.3233/JIFS-179644

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2020

Tipo de publicación: Proceedings Paper