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    Predicting Airspace Congestion using Approximate Queueing Models

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    MS_2002-6.pdf (1.009Mb)
    No. of downloads: 1284

    Date
    2002
    Author
    Chandran, Bala G.
    Advisor
    Ball, Michael O.
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    Abstract
    We present an approximate method for the analysis of queueingdelays in highly dynamic networks with schedule-based stochasticarrivals and time-varying service times. We also develop anintuitively appealing network flow model representation of theproblem and compare the performance of both models to a much moredetailed simulation on several sample networks. The two approachesare applied to the problem of estimating queueing delays in theairspace, which is modeled as a node-capacitated network withtime-varying capacity constraints and aircraft departure-timeuncertainty. We demonstrate the use of these models in airspacecongestion prediction and airline schedule evaluation.
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    http://hdl.handle.net/1903/6345
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