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Future flight Schedules are generated based on air traffic demand forecast for the purpose of aviation planning and performance analysis studies. A selection process needs to be designed and implemented by sampling historical operational data for each fiscal quarter and choosing representative days that best reflect seasonality in terms of a given set of(More)
In this paper, we present a Mixed Integer Programming formulation for the sample day selection problem. This formulation incorporates the IMC delay minutes for the purpose of modeling the effect of weather conditions in its objective function along with other performance metrics. The objective of the MIP formulation is to minimize the sum of differences(More)
Simulation models are often employed to evaluate projected future performance of the US National Airspace System (NAS) for the purposes of long-term aviation investment planning and performance benchmarking. The future schedules are developed as input for simulation to represent the forecast for airport operations. The itinerary structure of a future(More)
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