Urbanization and the proliferation of vehicles have intensified traffic congestion, leading to environmental degradation and impeding sustainable urban development. Intelligent Traffic Systems (ITS) have emerged as pivotal solutions to manage traffic efficiently. Recent advancements in Graph Neural Networks offer unprecedented capabilities in modeling complex spatial-temporal relationships inherent in traffic networks. This paper presents a comprehensive approach, Sustainable Urban Traffic Graph Neural Network (SUT-GNN), which integrates GNN into ITS to enhance traffic prediction accuracy, optimize traffic flow, and support sustainable city development. By incorporating environmental impact assessments and urban planning considerations, our model not only predicts traffic patterns but also aligns with sustainability objectives. Experimental results on real-world traffic datasets demonstrate the superiority of our approach over traditional methods, marking a significant step towards smarter and greener cities.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling Interdependencies in Intelligent Traffic Systems and Sustainable Urban Development Using Graph Neural Networks


    Weitere Titelangaben:

    Communic.Comp.Inf.Science


    Beteiligte:
    Razminia, Abolhassan (Herausgeber:in) / Nguyen, Dinh Hoa (Herausgeber:in) / Cao, Qian (Autor:in) / Li, Jing (Autor:in) / Trucco, Paolo (Autor:in)

    Kongress:

    International Symposium on Intelligent Technology for Future Transportation ; 2024 ; Helsinki, Finland October 20, 2024 - October 22, 2024



    Erscheinungsdatum :

    12.03.2025


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Modeling Interdependencies in Infrastructure Management Using Complex Systems

    Bernhardt, K. L. S. / McNeil, S. / ASCE | British Library Conference Proceedings | 2004



    Synthesizing Traffic Datasets Using Graph Neural Networks

    Rodriguez-Criado, Daniel / Chli, Maria / Manso, Luis J. et al. | IEEE | 2023


    Urban Expressway Traffic Flow Modeling and Control Using Neural Networks

    Guo-jiang, S. / Dan, H. / You-xian, S. | British Library Online Contents | 2004