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Incorporating declared capacity uncertainty in optimizing airport slot allocation

Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

Published
Publication date13/09/2022
<mark>Original language</mark>English
EventThe Operational Research Society's Annual Conference - University of Warwick, Coventry, United Kingdom
Duration: 13/09/202215/09/2022
https://theorsociety.eventsair.com/or64-annual-conference/

Conference

ConferenceThe Operational Research Society's Annual Conference
Abbreviated titleOR64
Country/TerritoryUnited Kingdom
CityCoventry
Period13/09/2215/09/22
Internet address

Abstract

Slot allocation is the mechanism used to allocate capacity at congested airports. A number of models have been introduced in the literature aiming to produce airport schedules that optimize the allocation of slot requests to the available airport capacity. A critical parameter affecting the outcome of the slot allocation process is the airport’s declared capacity. Existing airport slot allocation models treat declared capacity as an exogenously defined deterministic parameter. In this presentation we propose a new robust optimization formulation based on the concept of stability radius. The proposed formulation considers endogenously the airport’s declared capacity and expresses it as a function of its throughput. We present results from the application of the proposed approach to a congested airport and we discuss the trade-off between the declared capacity of the airport and the efficiency of the slot allocation process.