Predicting Airspace Congestion using Approximate Queueing Models
Chandran, Bala G.
Ball, Michael O.
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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.