Unified Optimization in Air Traffic Flow Management Problem Under Uncertainties

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Nazari Pour, Bahareh | 2017

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 49627 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Rafiee, Majid
Abstract:
Reviewing the literature on air traffic flow management shows that reducing flight delay is one of the main challenges facing air transportation systems. This is due to the high cost of incurring delays. At the first stage, two mixed integer-programming model is presented here that aims to minimize delay cost of air traffic. The first presented model seeks to minimize flights delay costs by choosing an optimal airport configuration and balancing departure and arrival flights and the second presented model solve this problem with the new approach with categorizing the airplane by types and prioritizing them. Numerical examples are solved in CPLEX 12.6 to evaluate models performance. Numeric results show that airplane categorizing has a considerable impact on costs of delay. At the second stage uncertainties in this problem are presented. Robust optimization in the second model are developed. Furthermore, computational times of solving these examples are in order of seconds; i.e. the presented models can find the exact solution in a few seconds
Keywords:
Mixed Integer Programming ; Traffic Control ; Air Traffic ; Flight Delay Cost ; Single Airpourt Ground Holding