Predicting Airspace Congestion using Approximate Queueing Models
dc.contributor.advisor | Ball, Michael O. | en_US |
dc.contributor.author | Chandran, Bala G. | en_US |
dc.contributor.department | ISR | en_US |
dc.contributor.department | NEXTOR | en_US |
dc.date.accessioned | 2007-05-23T10:13:30Z | |
dc.date.available | 2007-05-23T10:13:30Z | |
dc.date.issued | 2002 | en_US |
dc.description.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. | en_US |
dc.format.extent | 1058730 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/6345 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; MS 2002-6 | en_US |
dc.relation.ispartofseries | NEXTOR; MS 2002-1 | en_US |
dc.subject | Societal Infrastructure Systems | en_US |
dc.title | Predicting Airspace Congestion using Approximate Queueing Models | en_US |
dc.type | Thesis | en_US |
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