Autor segons l'article: Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: SOLÉ RIBALTA, ALBERT; GÓMEZ JIMÉNEZ, SERGIO; ARENAS MORENO, ALEJANDRO
Paraules clau: Phase transitions physics Congestion model Complex networks
Resum: 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.
Grup de recerca: Algorithms embedded in Physical Systems
Àrees temàtiques: Computer engineering Ingeniería informática Enginyeria informàtica
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 2054-5703
Identificador de l'autor: 0000-0003-3474-7594; 0000-0003-1820-0062; 0000-0003-0937-0334
Data d'alta del registre: 2016-11-02
Volum de revista: 3
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: http://rsos.royalsocietypublishing.org/content/3/10/160098
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1098/rsos.160098
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Pàgina inicial: Art.num. 160098
Tipus de publicació: Article Artículo Article
Repositori URV