This paper proposes a model to minimize the disruption caused by delayed flights, which utilizes historical data on flight patterns. The model optimizes the allocation of airport gates by considering factors such as flight density, flight delays, and resource utilization. An optimized algorithm is employed to improve the allocation strategy, and simulation results demonstrate that the algorithm can effectively reassign gates for delayed flights, significantly improving the robustness of the overall allocation plan against delays. These findings provide valuable insights for the real-time scheduling of the machine location management department.


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    Titel :

    Robust optimization strategy of airport gate allocation for large busy airport


    Beteiligte:
    Easa, Said (Herausgeber:in) / Wei, Wei (Herausgeber:in) / Xing, Zhiwei (Autor:in) / Yang, Zikun (Autor:in) / Liu, Qichang (Autor:in)

    Kongress:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 12790


    Erscheinungsdatum :

    07.09.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Robust optimization strategy of airport gate allocation for large busy airport

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