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

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