Traffic congestion is a major problem in urban areas of India affecting the quality of life for the citizens. Traditional methods of traffic monitoring and management have limitations in terms of accuracy and scalability. There is a need for a more efficient and reliable system that can collect real-time traffic data and provide direct actionable insights to traffic authorities. In this paper, we propose to develop a cloud-based system consisting of a mobile application and a website, supported by a cloud-based server, that will collect real-time traffic data from collaborative users anonymously and use analytics to generate traffic density reports. The mobile application will be used to collect the real-time data from the user. These data will be sent to the cloud server where it will be used for report generation. This report will be displayed to the authorities using a website, which would assist them in taking the right decisions.


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    Titel :

    Smart City Solutions for Traffic Management


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    M. Thampi, Sabu (Herausgeber:in) / Siarry, Patrick (Herausgeber:in) / Atiquzzaman, Mohammed (Herausgeber:in) / Trajkovic, Ljiljana (Herausgeber:in) / Lloret Mauri, Jaime (Herausgeber:in) / Niranjan, Maitreya (Autor:in) / Nachiketh, K. S. (Autor:in) / Kashyap, Naman (Autor:in) / Balakrishna, Abhinand B. (Autor:in) / Subbarao, Anand M. (Autor:in)

    Kongress:

    International Conference on Computing and Network Communications ; 2023 ; Bengaluru, India December 17, 2023 - December 19, 2023



    Erscheinungsdatum :

    06.02.2025


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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