No More Surprises: Stand Assignment Algorithm with Likelihood of Turnaround Time Deviation: Generating delay-aware stand assignment, optimized for the desired management perspectives

Research output: Contribution to conferencePosterAcademic

Abstract

Airport management is frequently faced with a problem
of assigning flights to available stands and parking positions in the
most economical way that would comply with airline policies and
suffer minimum changes due to any operational disruptions. This
work presents a novel approach to the most common airport
problem – efficient stand assignment. The described algorithm
combines benefits of data-mining and metaheuristic approaches
and generates qualitative solutions, aware of delay trends and
airport performance perturbations. The presented work provides
promising solutions from the starting moments of computation, in
addition, it delivers to the airport stakeholders delay-aware stand
assignment, and facilitates the estimation of risk and consequences
of any operational disruptions on the slot adherence.
Original languageEnglish
Publication statusPublished - Dec 2018
EventSESAR Innovation Days 2018 - the University of Salzburg, Salzburg, Austria
Duration: 3 Dec 20187 Dec 2018
https://www.sesarju.eu/node/3438

Conference

ConferenceSESAR Innovation Days 2018
Abbreviated titleSID
CountryAustria
CitySalzburg
Period3/12/187/12/18
Internet address

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