For smart city management, efficient handling of road traffic is one of the key aspects. Traffic congestion can be managed effectively, if the numbers of vehicles that are to pass through a crowded junction can be pre-estimated in time. The proposed method presents a framework, which has the capability to continuously convey the vehicle count and generate an alarm in case of large vehicle gathering to the controlling station in the Chandigarh or alike urban Indian cities. The number of vehicles passing through a location well before the required traffic junction can be estimated using the help of image processing techniques. Further, the monitoring details can be shared to a distant controlling centre situated anywhere in the city through internet usage. The performed experiments demonstrate the effectiveness of this Internet of Things (IoT) based technology.


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    Titel :

    Automatic Vehicle Counting for IoT based Smart Traffic Management System for Indian urban Settings


    Beteiligte:
    Singh, Satbir (Autor:in) / Singh, Baldev (Autor:in) / Ramandeep (Autor:in) / Singh, Baljit (Autor:in) / Das, Amitava (Autor:in)


    Erscheinungsdatum :

    01.04.2019


    Format / Umfang :

    1156694 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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