In this paper we present a novel method to improve the robustness of solutions to the Flight-to-Gate Assignment Problem (FGAP), with the aim to reduce the need for gate re-planning due to unpredicted flight schedule disturbances in the daily operations at an airport. We propose an approach in which the deterministic gate constraints are replaced by stochastic gate constraints that incorporate the inherent stochastic flight delays in such a way so as to ensure that the expected gate conflict probability of two flights assigned to the same gate at the same time does not exceed a user-specified value. The novel approach is integrated into an existing multiple time slot FGAP model that relies on a binary integer programming formulation and is tested using real-life data pertaining to Amsterdam Airport Schiphol. The results confirm that the proposed approach holds out great promise to improve the robustness of the FGAP solutions.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robust flight-to-gate assignment using flight presence probabilities



    Published in:

    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    Local classification TIB:    770/7000
    BKL:    55.80 / 55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 / 74.75 Verkehrsplanung, Verkehrspolitik



    Robust flight-to-gate assignment using flight presence probabilities

    van Schaijk, Oscar R. P. / Visser, Hendrikus G. | Taylor & Francis Verlag | 2017

    Free access

    Robust flight gate assignment

    Jaehn, Florian | TIBKAT | 2008


    Robust flight-to-gate assignment with landside capacity constraints

    L’Ortye, J. / Mitici, M. / Visser, H.G. | Taylor & Francis Verlag | 2021

    Free access

    Flight Gate Assignment Problem with Reinforcement Learning

    Muhafız Yıldız, Müge / Avcı, Umut / Örnek, Mustafa Arslan et al. | Springer Verlag | 2023


    Flight Gate Assignment with a Quantum Annealer

    Stollenwerk, Tobias / Lobe, Elisabeth / Jung, Martin | German Aerospace Center (DLR) | 2019

    Free access