Articles producció científica> Enginyeria Informàtica i Matemàtiques

A model to identify urban traffic congestion hotspots in complex networks

  • Identification data

    Identifier: imarina:9245875
    Authors:
    Sole-Ribalta, AlbertGomez, SergioArenas, Alex
    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.
  • Others:

    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
  • Keywords:

    Multidisciplinary,Multidisciplinary Sciences
    Phase transitions physics
    Congestion model
    Complex networks
    congestion model
    complex networks
    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
  • Documents:

  • Cerca a google

    Search to google scholar