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Robust flight-to-gate assignment using flight presence probabilities

Author

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  • Oscar R. P. van Schaijk
  • Hendrikus G. Visser

Abstract

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.

Suggested Citation

  • Oscar R. P. van Schaijk & Hendrikus G. Visser, 2017. "Robust flight-to-gate assignment using flight presence probabilities," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(8), pages 928-945, November.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:8:p:928-945
    DOI: 10.1080/03081060.2017.1355887
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    Cited by:

    1. Daş, Gülesin Sena & Gzara, Fatma & Stützle, Thomas, 2020. "A review on airport gate assignment problems: Single versus multi objective approaches," Omega, Elsevier, vol. 92(C).
    2. Li, Mingjie & Hao, Jin-Kao & Wu, Qinghua, 2022. "Learning-driven feasible and infeasible tabu search for airport gate assignment," European Journal of Operational Research, Elsevier, vol. 302(1), pages 172-186.
    3. Skorupski, Jacek & Żarów, Piotr, 2021. "Dynamic management of aircraft stand allocation," Journal of Air Transport Management, Elsevier, vol. 90(C).

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