Transport plays a crucial and vital role in the living standard of a nation. The transportation regulatory authorities across the world are continuously facing issues in traffic congestion, severe increase in pollution level and rise in the impurity level of air quality index. To overcome these problems, there is always a demand of intelligent strategies in transport management through automated software and IoT-enabled mechanisms. Due to cost-effective ration and lack of awareness, these technologies are not fully adopted in transportation industries. The primary aim of this research is to highlight prior researches in transport management and identify the issues. Further, the issues are reduced through the proposed model which improves the performance and reduces congestion so that environmental impact and productivity could be increased.


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    Titel :

    Automated Intelligent IoT-Based Traffic Lights in Transport Management System


    Weitere Titelangaben:

    Lecture Notes on Data Engineering and Communications Technologies


    Beteiligte:
    Hemanth, Jude (Herausgeber:in) / Bestak, Robert (Herausgeber:in) / Chen, Joy Iong-Zong (Herausgeber:in) / Singh, Akhilesh Kumar (Autor:in) / Raj, Manish (Autor:in)


    Erscheinungsdatum :

    13.02.2021


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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