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

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...

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Hauptverfasser: Ganesan, Rajesh, Sherry, Lance, Balakrishna, Poornima
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung: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.
ISSN:2155-4943
2155-4951
DOI:10.1109/ICNSURV.2010.5503259