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Predicting Airspace Congestion using Approximate Queueing Models

dc.contributor.advisorBall, Michael O.en_US
dc.contributor.authorChandran, Bala G.en_US
dc.description.abstractWe 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.en_US
dc.format.extent1058730 bytes
dc.relation.ispartofseriesISR; MS 2002-6en_US
dc.relation.ispartofseriesNEXTOR; MS 2002-1en_US
dc.subjectSocietal Infrastructure Systemsen_US
dc.titlePredicting Airspace Congestion using Approximate Queueing Modelsen_US

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