Tipus de document: info:eu-repo/semantics/other
DOI: 10.5061/dryad.32mq0
Publicacions relacionades: Solé-Ribalta, A., Gómez, S., & Arenas, A. (2016). A model to identify urban traffic congestion hotspots in complex networks. Royal Society Open Science, 3(10), 160098. https://doi.org/10.1098/rsos.160098
Departament: Enginyeria Informàtica i Matemàtiques
Autor: Solé-Ribalta, Albert
Data alta repositori: 2016-09-09
Any de publicació de la dataset: 2016
Matèria: Enginyeria
Identificador del investigador: 0000-0002-2953-5338
DOI de la publicació relacionada: 10.1098/rsos.160098
Idioma: en
Publicat per (editora): Universitat Rovira i Virgili (URV)
Drets d'accés: info:eu-repo/semantics/openAccess
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 becomes hotspots if mobility demand increases.
Repositori URV