Home > Research > Publications & Outputs > Incorporating declared capacity uncertainty in ...

Electronic data

Links

View graph of relations

Incorporating declared capacity uncertainty in optimizing airport slot allocation

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

Published

Standard

Incorporating declared capacity uncertainty in optimizing airport slot allocation. / Pirogov, Aleksandr; Zografos, K. G.
2022. Abstract from The Operational Research Society's Annual Conference, Coventry, United Kingdom.

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

Harvard

APA

Vancouver

Pirogov A, Zografos KG. Incorporating declared capacity uncertainty in optimizing airport slot allocation. 2022. Abstract from The Operational Research Society's Annual Conference, Coventry, United Kingdom.

Author

Pirogov, Aleksandr ; Zografos, K. G. / Incorporating declared capacity uncertainty in optimizing airport slot allocation. Abstract from The Operational Research Society's Annual Conference, Coventry, United Kingdom.

Bibtex

@conference{f4b663911051414287e3c84a38bbc1c5,
title = "Incorporating declared capacity uncertainty in optimizing airport slot allocation",
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{\textquoteright}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{\textquoteright}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.",
author = "Aleksandr Pirogov and Zografos, {K. G.}",
year = "2022",
month = sep,
day = "13",
language = "English",
note = "The Operational Research Society's Annual Conference, OR64 ; Conference date: 13-09-2022 Through 15-09-2022",
url = "https://theorsociety.eventsair.com/or64-annual-conference/",

}

RIS

TY - CONF

T1 - Incorporating declared capacity uncertainty in optimizing airport slot allocation

AU - Pirogov, Aleksandr

AU - Zografos, K. G.

PY - 2022/9/13

Y1 - 2022/9/13

N2 - 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.

AB - 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.

M3 - Abstract

T2 - The Operational Research Society's Annual Conference

Y2 - 13 September 2022 through 15 September 2022

ER -