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Capacity estimation for super-dense operations

  • Metron Aviation, Inc.
  • Research and Analysis Department
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

In this paper, we investigate methods of estimating capacity for Super-Dense Operations (SDO) in the terminal area of the Next Generation Air Transportation System (NextGen). We model the transition airspace, from roughly 200 nmi away from the airport, where most aircraft are en route and beginning their top of descent, to approximately 40 nmi from the airport, where traffic transitions into the terminal airspace. We consider capacity estimation both for short-term deterministic weather forecasts and for long-term probabilistic forecasts. For short-term deterministic forecasts, we are able to analyze one forecast to estimate the capacity for arrival aircraft (or departure aircraft) that all have a constant Required Navigation Performance (RNP) or that have a mixture of different RNP values. For long-term probabilistic forecasts given in the form of ensemble weather forecasts, we compute the probability distribution of the capacity.

Original languageEnglish
Title of host publicationAIAA Guidance, Navigation and Control Conference and Exhibit
StatePublished - 2008
EventAIAA Guidance, Navigation and Control Conference and Exhibit - Honolulu, HI, United States
Duration: Aug 18 2008Aug 21 2008

Publication series

NameAIAA Guidance, Navigation and Control Conference and Exhibit

Conference

ConferenceAIAA Guidance, Navigation and Control Conference and Exhibit
Country/TerritoryUnited States
CityHonolulu, HI
Period08/18/0808/21/08

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