Simulation and Performance Analysis of Strategic Air Traffic Management under Weather Uncertainty

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In this thesis, I introduce a promising framework for representing an air traffic flow (stream) and flow-management action operating under weather uncertainty. I 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 ... continued below

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Zhou, Yi May 2011.

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  • Zhou, Yi

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Description

In this thesis, I introduce a promising framework for representing an air traffic flow (stream) and flow-management action operating under weather uncertainty. I 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, I believe that the interfaced weather-impact and traffic-flow model analyzed here holds promise to inform strategic flow contingency management in NextGen.

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  • May 2011

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  • Jan. 10, 2012, 9:44 a.m.

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  • Jan. 15, 2014, 2:02 p.m.

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Zhou, Yi. Simulation and Performance Analysis of Strategic Air Traffic Management under Weather Uncertainty, thesis, May 2011; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc68071/: accessed September 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .