Author, as appears in the article.: Sole-Ribalta, Albert; Gomez, Sergio; Arenas, Alex
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Arenas Moreno, Alejandro / Gómez Jiménez, Sergio / Solé Ribalta, Albert
Keywords: Phase transitions physics Congestion model Complex networks congestion model complex networks
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.
Thematic Areas: Multidisciplinary sciences Multidisciplinary Medicina veterinaria Matemática / probabilidade e estatística Interdisciplinar Geociências Ciências biológicas i Ciências agrárias i Ciência da computação Biodiversidade Astronomia / física Antropologia / arqueologia
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: albert.sole@urv.cat sergio.gomez@urv.cat alexandre.arenas@urv.cat
Author identifier: 0000-0002-2953-5338 0000-0003-1820-0062 0000-0003-0937-0334
Record's date: 2024-09-28
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://royalsocietypublishing.org/doi/10.1098/rsos.160098
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Royal Society Open Science. 3 (10): 160098-
APA: Sole-Ribalta, Albert; Gomez, Sergio; Arenas, Alex (2016). A model to identify urban traffic congestion hotspots in complex networks. Royal Society Open Science, 3(10), 160098-. DOI: 10.1098/rsos.160098
Article's DOI: 10.1098/rsos.160098
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
Publication Type: Journal Publications