Information of Connected Vehicles (CVs) could describe vehicular dynamics in much greater detail, enhancing the effectiveness of traffic control systems. One important such system is perimeter control, which can achieve better performance by incorporating the evolution of congestion into the identification of protected regions through a dynamic approach. However, little attention has been given to identifying such dynamic regions by developing CV-based network partitioning models in a spatiotemporal dimension. To address this gap, this paper proposes a three-module framework that (1) collects the relevant information of CVs, (2) performs initial partitioning based on some rational considerations, and (3) identifies the optimal protected regions through a partitioning evaluation, improvement, and iteration algorithm. The carried-out comparisons between perimeter control systems employing the resulting protected regions and those using static regions confirm that the proposed framework enhances the efficiency of perimeter control, even for CVs' penetration rates that are as low as 15%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Dynamic and heterogeneity-sensitive urban network partitioning: a data-driven technique


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    31.12.2023


    Format / Umfang :

    24 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    A Dynamic Algorithm of Partitioning Urban Road Network into Traffic Control Subareas

    Gong, Bo-Wen / Bie, Yi Ming / Liu, Zhi-yuan | Tema Archiv | 2013


    Urban road network dynamic partitioning method and device based on spectral clustering

    WANG HAO / PENG XIANYUE / CHEN YUJIA | Europäisches Patentamt | 2024

    Freier Zugriff

    Flow count data-driven static traffic assignment models through network modularity partitioning

    Roocroft, Alexander / Punzo, Giuliano / Ramli, Muhamad Azfar | Springer Verlag | 2025

    Freier Zugriff

    Partitioning urban road network based on travel speed correlation

    Qing Yu / Weifeng Li / Dongyuan Yang et al. | DOAJ | 2021

    Freier Zugriff

    Data-Driven Prediction System of Dynamic People-Flow in Large Urban Network Using Cellular Probe Data

    Xiaoxuan Chen / Xia Wan / Fan Ding et al. | DOAJ | 2019

    Freier Zugriff