兼顾航班价值、效率与公平的进港航班协同调度
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1.南京航空航天大学 民航学院;2.上海工程技术大学 管理学院

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U8

基金项目:

教育部人文社会科学研究项目(23YJC790027);南京航空航天大学研究生创新基地开放基金资助项目(xcxjh20240717)


Collaborative scheduling of arrival flights balancing flight value, efficiency, and fairness
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General Project of Humanities and Social Sciences Research of the Ministry of Education(23YJC790027);Project Funded by the Open Fund of the Postgraduate Innovation Base at Nanjing University of Aeronautics and Astronautics (xcxjh20240717)

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    摘要:

    【目的】针对终端区航班调度中系统整体效率与航司个性化诉求难以兼顾的问题,本文旨在允许空域使用者根据自身商业利益和航班特性适度参与调度,以提升运行效率并均衡各方利益。【方法】基于用户驱动优先排序过程(user-driven prioritization process, UDPP)理念,提出一种兼顾航班价值、效率与公平的进港航班协同调度模型。航司价值模块通过CRITIC-VIKOR多准则决策法量化航班价值,生成价值偏好向量;空管调度模块在时间窗、尾流间隔等运行约束下求解。二者通过协同迭代优化模块,引入的自适应权重协调机制,利用自适应步长坐标下降策略(adaptive step-size coordinate descent,ASCD)进行权重下发与微调。设计改进的离散海星优化算法(discrete starfish optimization algorithm,D-SFOA)求解调度模型。【结果】实验结果表明,相比传统先到先服务和普通航路可选的航班调度模型,本文构建的协同调度模型能在保障调度效率的基础上,降低高价值航班的延误时长,同时使各航司间的延误分配均衡度得到提升。【结论】本文建立的进港航班协同调度模型有效兼顾了系统效率、航班优先级与延误公平,为 ATM 提供了一种支持用户参与的协同规划方法。

    Abstract:

    [Purposes] To address the difficulty of balancing overall system efficiency with airline-specific operational preferences in terminal area flight scheduling, this study allows airspace users to participate in the scheduling process according to their commercial interests and flight characteristics, thereby improving operational efficiency while balancing the interests of multiple stakeholders. [Methods] Based on the concept of the user-driven prioritization process (UDPP), an arrival flight collaborative scheduling model that jointly considers flight value, operational efficiency, and fairness is proposed. The airline-side value module quantifies flight value through the CRITIC-VIKOR multi-criteria decision-making method and generates a value preference vector, while the air traffic control scheduling module solves the scheduling problem under operational constraints such as time windows and wake separation. The two modules are connected through an adaptive weight coordination mechanism introduced by the collaborative iterative optimization module, in which weight allocation and adjustment are performed using the adaptive step-size coordinate descent (ASCD) strategy. An improved discrete starfish optimization algorithm (D-SFOA) is further designed to solve the scheduling model. [Findings] Experimental results show that, compared with the traditional first-come-first-served strategy and the conventional route-optional scheduling model, the proposed collaborative scheduling model reduces the delay duration of high-value flights while maintaining scheduling efficiency and improving the balance of delay distribution among airlines. [Conclusions] The proposed arrival flight collaborative scheduling model effectively balances system efficiency, flight priority, and delay fairness, and provides a more user-participatory and collaborative planning method for Air Traffic Management (ATM).

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  • 收稿日期:2026-05-28
  • 最后修改日期:2026-06-29
  • 录用日期:2026-06-30
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