Autor según el artículo: Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: SOLÉ RIBALTA, ALBERT; GÓMEZ JIMÉNEZ, SERGIO; ARENAS MORENO, ALEJANDRO
Palabras clave: Phase transitions physics Congestion model Complex networks
Resumen: The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable for improvement and control. Here, we propose an idealized model, based on the critical phenomena arising in complex networks, that allows to analytically predict congestion hotspots in urban environments. Results on real cities¿ road networks, considering, in some experiments, real traffic data, show that the proposed model is capable of identifying susceptible junctions that might become hotspots if mobility demand increases.
Grupo de investigación: Algorithms embedded in Physical Systems
Áreas temáticas: Computer engineering Ingeniería informática Enginyeria informàtica
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2054-5703
Identificador del autor: 0000-0003-3474-7594; 0000-0003-1820-0062; 0000-0003-0937-0334
Fecha de alta del registro: 2016-11-02
Volumen de revista: 3
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: http://rsos.royalsocietypublishing.org/content/3/10/160098
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1098/rsos.160098
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2016
Página inicial: Art.num. 160098
Tipo de publicación: Article Artículo Article
Repositori URV