Tipo de documento: info:eu-repo/semantics/other
DOI: 10.5061/dryad.32mq0
Publicaciones relacionadas: 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
Departamento: Enginyeria Informàtica i Matemàtiques
Autor: Solé-Ribalta, Albert
Fecha alta repositorio: 2016-09-09
Año de publicación de la dataset: 2016
Materia: Enginyeria
Identificador del investigador: 0000-0002-2953-5338
DOI de la publicación relacionada: 10.1098/rsos.160098
Idioma: en
Publicado por (editorial): Universitat Rovira i Virgili (URV)
Derechos de acceso: info:eu-repo/semantics/openAccess
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 becomes hotspots if mobility demand increases.
Repositori URV