Reducing traffic and pollution is crucial for the well-being of both people and the planet. These issues mainly affect developing nations due to rapid urbanization and limited infrastructure. This paper emphasizes the development of smart traffic management systems that monitor and control traffic flow, lessen congestion, and shorten travel times using IoT and LoRa. Lowering the number of vehicles on the road can lower fuel use and emissions. IoT can also gather real-time data on air quality, which can help pollution reduction efforts and inform air quality policies.


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    Titel :

    Intelligent Traffic Management System: AI-Enabled IoT Traffic Lights to Mitigate Accidents and Minimize Environmental Pollution




    Erscheinungsdatum :

    23.06.2023


    Format / Umfang :

    1272231 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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