Generally, we will confront many issues for intersection tollgates. Parcel of vehicles will be in a line to pay the toll for intersection the parkways. This is squandering a great deal of time and furthermore expanding in activity prompts burden amid well-being and different crises. And furthermore, there will be various approaches to achieve a goal yet picking a sit route with low movement one is another issue. To defeat this, an online toll administration framework and movement forecast investigation are created. This will have the capacity to pay the toll utilizing on the web installment gateway, clients can pay with approved certifications, and in view of passage of the vehicles into toll, movement status of specific thruway can be acquired.


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    Titel :

    Highway Toll Management and Traffic Prediction Using Data Mining


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Venkata Krishna, P. (Herausgeber:in) / Obaidat, Mohammad S. (Herausgeber:in) / Kumar, Pruthvi (Autor:in) / Pranathi, Kotapalli (Autor:in) / Kamalakannan, J. (Autor:in)


    Erscheinungsdatum :

    11.02.2020


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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