Conjunts de dades de producció científica> Enginyeria Informàtica i Matemàtiques

Data from: A model to identify urban traffic congestion hotspots in complex networks

  • Dades identificatives

    Identificador: PC:4137
    Handle: https://hdl.handle.net/20.500.11797/PC4137
    Autors:
    Solé-Ribalta, Albert
    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.

  • Altres:

    Matèria: Enginyeria
    Drets d'accés: info:eu-repo/semantics/openAccess
    Identificador del investigador: 0000-0002-2953-5338
    Publicat per (editora): Universitat Rovira i Virgili (URV)
    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
    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.
    Departament: Enginyeria Informàtica i Matemàtiques
    DOI: 10.5061/dryad.32mq0
    Tipus de document: info:eu-repo/semantics/other
    DOI de la publicació relacionada: 10.1098/rsos.160098
    Data alta repositori: 2016-09-09
    Autor: Solé-Ribalta, Albert
    Paraules clau: Complex networks, congestion phenomena, critical phenomena
    Any de publicació de la dataset: 2016
    Títol del conjunt de dades: Data from: A model to identify urban traffic congestion hotspots in complex networks

  • Paraules clau:

    Enginyeria
    Complex networks, congestion phenomena, critical phenomena

  • Documents:

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