This paper discusses about stochastic dynamic programming approach to taxi out predictions that provides a method for sequential taxi out time predictions in real-time, predicts at least 15 minutes before scheduled push back time of a flight and method provides increased accuracy when compared with regression based model.


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    Titel :

    Learning-based models for estimating airport taxi-out time using approximate dynamic programming


    Beteiligte:


    Erscheinungsdatum :

    01.05.2010


    Format / Umfang :

    9400297 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Airport Taxi-Out Prediction Using Approximate Dynamic Programming

    Balakrishna, Poornima / Ganesan, Rajesh / Sherry, Lance | Transportation Research Record | 2008




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