Transactions of Nanjing University of Aeronautics & Astronautics
Flight Schedule Recovery under Uncertain Airport Capacity
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Abstract:
Airlines adjust their flight schedules to satisfy more stringent airport capacity constraints caused by inclement weather or other unexpected disruptions. The problem will be more important and complicated if uncertain disruptions occur in hub airports. A twostage stochastic programming model was established to deal with the realtime flight schedule recovery and passenger reaccommodation problem. The firststage model represents the flight retiming and refleeting decision in current time period when capacity information is deterministic, while the secondstage recourse model evaluates the passenger delay given the firststage solutions when one future scenario is realized. Aiming at the large size of the problem and requirement for quick response, an algorithmic framework combining the sample average approximation and heuristic method was proposed. The computational results indicated of that the proposed method could obtain solutions with around 5% optimal gaps, and the computing time was linearly positive to the sample size.
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