Urbanization has led to increased traffic congestion and air pollution, primarily from vehicle emissions, posing risks to public health and the environment. Existing traffic management systems are inefficient in integrating real-time pollution data, leading to reactive control measures. This project proposes an IoT-based smart traffic management system that integrates real-time air quality monitoring with dynamic traffic control. IoT sensors collect pollution and vehicle data, which is processed using cloud computing and machine learning to optimize traffic flow and reduce emissions. AI techniques provide transparency, helping city authorities understand and trust the system's decisions. The system also offers predictive analytics for proactive pollution management and a user-friendly dashboard for real-time visualization. The solution aims to reduce urban emissions, and enhance traffic efficiency, offering a sustainable approach for modern cities.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic and Pollution Control Using IoT-Enabled Smart Routing Algorithm


    Beteiligte:
    Hammed, S Shahul (Autor:in) / Preethi, C. (Autor:in) / Haripriya, K (Autor:in) / Pavalarajan, S. (Autor:in) / Gowtham, M.R. (Autor:in) / Krithick, N. Akshaay (Autor:in)


    Erscheinungsdatum :

    10.03.2025


    Format / Umfang :

    451999 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Smart Traffic Management System using IoT Enabled Technology

    Bali, Vikram / Mathur, Sonali / Sharma, Vishnu et al. | IEEE | 2020


    LADAR ENABLED TRAFFIC CONTROL

    GILLILAND PATRICK / MASUR JAN-MICHAEL / LEPPIN HEIKO | Europäisches Patentamt | 2017

    Freier Zugriff


    Smart-Routing Web App: A Road Traffic Eco-Routing Tool Proposal for Smart Cities

    Lozano-Pinilla, José R. / Sánchez-Cordero, Iván / Vicente-Chicote, Cristina | Springer Verlag | 2023


    Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management

    Zhu, Fenghua / Lv, Yisheng / Chen, Yuanyuan et al. | IEEE | 2020