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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    Title :

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


    Contributors:


    Publication date :

    2010-05-01


    Size :

    9400297 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Airport Taxi-Out Prediction Using Approximate Dynamic Programming

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




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