Among many methods presented for traffic congestion detection and control, the traffic light control system is effective, however, produces a slew of issues, including excessive delays and high energy consumption. To increase the efficiency, the traffic light length must be adapted dynamically corresponding to real-time traffic. Computer vision techniques have been commonly used for traffic detection. In this article, to regulate the signal for traffic, a Two-Dimensional Convolutional Neural Network (2D-CNN) is constructed for traffic detection and the TensorFlow is used to implement the 2D-CNN. The live traffic data is then used to regulate traffic lights. To validate the proposed method, it is compared with Vehicular Adhoc Network (VANET) adaptive traffic light control, using Simulation of Urban Mobility (SUMO) platform. The simulation’s outcome shows that the proposed method is more effective at controlling traffic signals and reduces traffic congestion. The results showed 96% accuracy on the testing dataset.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Convolution Neural Network Based VANET Traffic Control System in a Smart City


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Arai, Kohei (Herausgeber:in) / Mathiane, Malose (Autor:in) / Tu, Chunling (Autor:in) / Adewale, Pius (Autor:in) / Nawej, Mukatshung (Autor:in)

    Kongress:

    Intelligent Systems Conference ; 2023 ; Amsterdam, The Netherlands September 07, 2023 - September 08, 2023



    Erscheinungsdatum :

    2024-02-14


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Smart Traffic Monitoring and Alert System Using VANET and Deep Learning

    Taneja, Manik / Garg, Neeraj | Springer Verlag | 2021


    CONTROL AND MANAGE TRAFFIC LIGHT SYSTEM WITH VANET

    VAUDRIN FRANCOIS / CAPUS LAURENCE | Europäisches Patentamt | 2022

    Freier Zugriff

    Control and manage traffic light system with VANET

    VAUDRIN FRANÇOIS / CAPUS LAURENCE | Europäisches Patentamt | 2022

    Freier Zugriff

    Control and manage traffic light system with VANET

    VAUDRIN FRANÇOIS / CAPUS LAURENCE | Europäisches Patentamt | 2020

    Freier Zugriff