This paper presents an insight into the future usage of airport by the passenger using the method Holt’s winter in time series analysis. The airport industry has a gradual development over past few years. With the time series analysis, we can predict the airport traffic through passing over the data of past ten to twelve years of previous observed values of passenger traffic. Using this method, the results predict the future airport traffic and give us a clear analysis of airport usage and to reduce traffic simultaneously solutions should be made previously. The results are based on agreement with the theoretical predictions and significant improvement over previous efforts. This work is presented has a profound implication on future prediction d this may help to solve the problem of airport.


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    Titel :

    Prediction of Passenger Traffic for Global Airport using Holt’s Winter Method in Time Series Analysis


    Beteiligte:
    Deetchiga., S. (Autor:in) / harini, U. Kabila (Autor:in) / Marimuthu, M. (Autor:in) / Radhika, J. (Autor:in)


    Erscheinungsdatum :

    01.12.2018


    Format / Umfang :

    397548 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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