Scipediacontent: Scipediacontent moved page Draft Content 848662515 to Zhou et al 2011b

2021-02-03T19:06:36Z

Scipediacontent moved page Draft Content 848662515 to Zhou et al 2011b

Scipediacontent: Created page with " == Abstract == In this article, we introduce a promising framework for representing an air traffic flow (stream) and flow-management action operating under weather uncertain..."

2021-02-03T19:06:33Z

Created page with " == Abstract == In this article, we introduce a promising framework for representing an air traffic flow (stream) and flow-management action operating under weather uncertain..."

New page

== Abstract ==

In this article, we introduce a promising framework for representing an air traffic flow (stream) and flow-management action operating under weather uncertainty. We propose to use a meshed queuing and Markov-chain model—specifically, a queuing model whose service-rates are modulated by an underlying Markov chain describing weather-impact evolution—to capture traffic management in an uncertain environment. Two techniques for characterizing flow-management performance using the model are developed, namely 1) a master-Markov-chain representation technique that yields accurate results but at relatively high computational cost, and 2) a jump-linear system-based approximation that has promising scalability. The model formulation and two analysis techniques are illustrated with numerous examples. Based on this initial study, we believe that the interfaced weather-impact and traffic-flow model analyzed here holds promise to inform strategic flow contingency management in NextGen.

== Original document ==

The different versions of the original document can be found in:

* [http://pdfs.semanticscholar.org/8a47/bf6ce4abcf97e76f6a3a2233fad42fefe353.pdf http://pdfs.semanticscholar.org/8a47/bf6ce4abcf97e76f6a3a2233fad42fefe353.pdf]

* [http://arc.aiaa.org/doi/pdf/10.2514/6.2011-6514 http://arc.aiaa.org/doi/pdf/10.2514/6.2011-6514],
: [http://dx.doi.org/10.2514/6.2011-6514 http://dx.doi.org/10.2514/6.2011-6514]

* [http://www.researchgate.net/profile/Craig_Wanke/publication/268292589_A_Stochastic_Modeling_and_Analysis_Approach_to_Strategic_Traffic_Flow_Management_under_Weather_Uncertainty/links/54c0f02c0cf28a6324a463fd.pdf http://www.researchgate.net/profile/Craig_Wanke/publication/268292589_A_Stochastic_Modeling_and_Analysis_Approach_to_Strategic_Traffic_Flow_Management_under_Weather_Uncertainty/links/54c0f02c0cf28a6324a463fd.pdf],
: [http://arc.aiaa.org/doi/pdf/10.2514/6.2011-6514 http://arc.aiaa.org/doi/pdf/10.2514/6.2011-6514],
: [https://academic.microsoft.com/#/detail/2323086495 https://academic.microsoft.com/#/detail/2323086495]

← Older revision	Revision as of 19:06, 3 February 2021
(No difference)

Zhou et al 2011b - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 848662515 to Zhou et al 2011b

Scipediacontent: Created page with " == Abstract == In this article, we introduce a promising framework for representing an air traffic flow (stream) and flow-management action operating under weather uncertain..."