Modeling aircraft taxi operations is an important element in understanding current airport performance and where opportunities may lie for improvements. A statistical learning approach to modeling aircraft taxi time is presented in this paper. This approach allows efficient identification of relatively simple and easily interpretable models of aircraft taxi time, which are shown to yield remarkably accurate predictions when tested on actual data.


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    Titel :

    Statistical Learning Approach to the Modeling of Aircraft Taxi-Time


    Beteiligte:
    R. Jordan (Autor:in) / M. A. Ishutkina (Autor:in) / T. G. Reynolds (Autor:in)

    Erscheinungsdatum :

    2010


    Format / Umfang :

    11 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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