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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    Title :

    Robust optimization strategy of airport gate allocation for large busy airport


    Contributors:
    Easa, Said (editor) / Wei, Wei (editor) / Xing, Zhiwei (author) / Yang, Zikun (author) / Liu, Qichang (author)

    Conference:

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


    Published in:

    Proc. SPIE ; 12790


    Publication date :

    2023-09-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Robust optimization strategy of airport gate allocation for large busy airport

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    Robust optimization strategy of airport gate allocation for large busy airport

    Xing, Zhiwei / Yang, Zikun / Liu, Qichang | British Library Conference Proceedings | 2023



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