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• W1574426306 abstract "The cost of air traffic delays is well documented,and furthermore, it is known that the significant proportion ofdelays is incurred at airports. Much of the air traffic flowmanagement literature focuses on traffic flows between airports ina network, and when studies have focused on optimizing airportoperations, they have focused largely on a single aspect at a time.In this thesis, we fill an important gap in the literature byproposing unified approaches, on both strategic and tacticallevels, to optimizing the traffic flowing through an airport. Inparticular, we consider the entirety of key problems faced at anairport: a) selecting a runway configuration sequence; b)determining the balance of arrivals and departures to be served; c)assigning flights to runways and determining their sequence; d)determining the gate-holding duration of departures andspeedcontrol of arrivals; and e) routing flights to their assignedrunway and onwards within the terminal area. In the first part, wepropose an optimization approach to solve in a unified manner thestrategic problems (a) and (b) above, which are addressed manuallytoday, despite their importance. We extend the model to consider agroup of neighboring airports where operations at differentairports impact each other due to shared airspace. We then considera more tactical, flight-by-flight, level of optimization, andpresent a novel approach to optimizing the entire AirportOperations Optimization Problem, made up of subproblems (a) - (e)above. Until present, these have been studied mainly in isolation,but we present a framework which is both unified and tractable,allowing the possibility of system-optimal solutions in a practicalamount of time. Finally, we extend the models to consider the keyuncertainties in a practical implementation of our methodologies,using robust and stochastic optimization. Notable uncertainties arethe availability of runways for use, and flights' earliest possibletouchdown/takeoff times. We then analyze the inherent trade-offbetween robustness and optimality. Computational experience usinghistoric and manufactured datasets demonstrates that our approachesare computationally tractable in a practical sense, and couldresult in cost benefits of at least 10% over currentpractice." @default.
• W1574426306 created "2016-06-24" @default.
• W1574426306 creator A5076376913 @default.
• W1574426306 date "2012-01-01" @default.
• W1574426306 modified "2023-09-27" @default.
• W1574426306 title "Air traffic flow management at airports : a unified optimization approach" @default.
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