DocumentCode :
2922318
Title :
Learning-based models for estimating airport taxi-out time using approximate dynamic programming
Author :
Ganesan, Rajesh ; Sherry, Lance ; Balakrishna, Poornima
Author_Institution :
Center for Air Transp. Syst. Res., George Mason Univ., Fairfax, VA, USA
fYear :
2010
fDate :
11-13 May 2010
Firstpage :
1
Lastpage :
24
Abstract :
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.
Keywords :
dynamic programming; learning (artificial intelligence); real-time systems; regression analysis; road traffic; road vehicles; airport taxi out time estimation; dynamic programming; learning based models; regression based model; Accuracy; Air transportation; Airports; Delay effects; Delay estimation; Dynamic programming; Educational programs; FAA; Predictive models; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Communications Navigation and Surveillance Conference (ICNS), 2010
Conference_Location :
Herndon, VA
ISSN :
2155-4943
Print_ISBN :
978-1-4244-7457-8
Type :
conf
DOI :
10.1109/ICNSURV.2010.5503259
Filename :
5503259
Link To Document :
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