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Estimating Controller Intervention Probabilities for Optimized Profile Descent ArrivalsSimulations of arrival traffic at Dallas/Fort-Worth and Denver airports were conducted to evaluate incorporating scheduling and separation constraints into advisories that define continuous descent approaches. The goal was to reduce the number of controller interventions required to ensure flights maintain minimum separation distances of 5 nmi horizontally and 1000 ft vertically. It was shown that simply incorporating arrival meter fix crossing-time constraints into the advisory generation could eliminate over half of the all predicted separation violations and more than 80% of the predicted violations between two arrival flights. Predicted separation violations between arrivals and non-arrivals were 32% of all predicted separation violations at Denver and 41% at Dallas/Fort-Worth. A probabilistic analysis of meter fix crossing-time errors is included which shows that some controller interventions will still be required even when the predicted crossing-times of the advisories are set to add a 1 or 2 nmi buffer above the minimum in-trail separation of 5 nmi. The 2 nmi buffer was shown to increase average flight delays by up to 30 sec when compared to the 1 nmi buffer, but it only resulted in a maximum decrease in average arrival throughput of one flight per hour.
Document ID
20140006943
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Meyn, Larry A.
(NASA Ames Research Center Moffett Field, CA United States)
Erzberger, Heinz
(NASA Ames Research Center Moffett Field, CA, United States)
Huynh, Phu V.
(Aerospace Computing, Inc. Moffett Field, CA, United States)
Date Acquired
June 9, 2014
Publication Date
September 20, 2011
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN3023
Funding Number(s)
CONTRACT_GRANT: NAS2-03144
WBS: WBS 305295.02.07.01.06
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
continous descent arrivals
trajectory uncertainty
aircraft scheduling
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