Robust optimization strategy of airport gate allocation for large busy airport

Zhiwei Xing; Zikun Yang; Qichang Liu

doi:10.1117/12.2689757

7 September 2023 Robust optimization strategy of airport gate allocation for large busy airport

Zhiwei Xing, Zikun Yang, Qichang Liu

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127906T (2023) https://doi.org/10.1117/12.2689757
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

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.

Citation Download Citation

Zhiwei Xing, Zikun Yang, and Qichang Liu "Robust optimization strategy of airport gate allocation for large busy airport", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127906T (7 September 2023); https://doi.org/10.1117/12.2689757

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