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TITLE:
A model to identify urban traffic congestion hotspots in complex networks - PC:1930

URV's Author/s:SOLÉ RIBALTA, ALBERT; GÓMEZ JIMÉNEZ, SERGIO; ARENAS MORENO, ALEJANDRO
Author, as appears in the article.:Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
Author identifier:0000-0003-3474-7594; 0000-0003-1820-0062; 0000-0003-0937-0334
Journal publication year:2016
Publication Type:Article
ISSN:2054-5703
Abstract: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.
Article's DOI:10.1098/rsos.160098
Link to the original source:http://rsos.royalsocietypublishing.org/content/3/10/160098
Papper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Enginyeria Informàtica i Matemàtiques
Research group:Algorithms embedded in Physical Systems
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Computer engineering
Keywords:Phase transitions physics
Congestion model
Complex networks
Entity:Universitat Rovira i Virgili
Record's date:2016-11-02
First page:Art.num. 160098
Journal volume:3
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