The foremost emphasis of this paper is to project the need for collecting the outlet pollutant gases from the individual vehicle which is on fleet and the need to maintain the vehicle to make the surveillance of vehicle in the fleet. The data that is collected from the vehicle was stored in the cloud and provided to the vehicle user mobile application that displays the level of pollutant. With the help of pollutant level the user may be aware of the maintenance or the change in vehicle filling station, which will reduce the overall level of pollutant of the vehicle. The data that is uploaded in the cloud will be used by the regional transport office to keep track of the vehicle user. Since the vehicle keeps increasing in its usage the total data received from the vehicle also increases, the data collected was based on the individual vehicle its sensed value, vehicle user data makes the regular and frequent updates in the cloud that creates the variety of input and varsity in the cloud. Thus the input grows larger in size where there is a need for the big data entering in. Big data analysis gives the detailed view that helps in the flow regulation of vehicles when the details of the days and location of vehicle traced from the cloud server.


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    Titel :

    A Hardware Model for Vehicular Network to Control Air Pollution Leading to Big Data Analytics


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility ; 2018



    Erscheinungsdatum :

    2018-07-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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