Research on dynamic allocation method for airport gate based on capacity relaxation

Zhiwei Xing; Yechen Wang; Di Qiao; Liang Zhao

doi:10.1117/12.2692448

23 August 2023 Research on dynamic allocation method for airport gate based on capacity relaxation

Zhiwei Xing, Yechen Wang, Di Qiao, Liang Zhao

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278424 (2023) https://doi.org/10.1117/12.2692448
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

With the increasing level of national economy, the throughput of domestic flights is increasing. Restricted by the limited airport gates, the reasonable allocation of parking spaces becomes the key to improve the airport operation efficiency. Therefore, a dynamic adjustment model of airport gate allocation is proposed, and the effective results of the average occupancy ratio and the low number of adjustments of airport gates are obtained by applying the gradient descent method for dynamic adjustment, while the data of two peak hours of airport occupancy of a domestic hub airport are used for simulation and the dynamic optimization of the allocation of airport gates during these hours. The results show that the dynamic adjustment of airport gates scheme achieves better results with even allocation of airport gates, increasing slack airport gates and adapting to the situation under different flight densities, which plays the significance of rational utilization of airport gates, reducing flight delays and improving airport operation efficiency.

Citation Download Citation

Zhiwei Xing, Yechen Wang, Di Qiao, and Liang Zhao "Research on dynamic allocation method for airport gate based on capacity relaxation", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278424 (23 August 2023); https://doi.org/10.1117/12.2692448

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