中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (11): 98-106.doi: 10.16265/j.cnki.issn1003-3033.2025.11.0159

• 安全工程技术 • 上一篇    下一篇

考虑多利益相关方需求的机场群航班时刻优化

任杰1,2(), 曲仕茹2, 王莉莉1, 张家梁1, 孙志远1   

  1. 1 中国民航大学 空中交通管理学院,天津 300300
    2 西北工业大学 自动化学院,陕西 西安 710072
  • 收稿日期:2025-05-16 修回日期:2025-08-22 出版日期:2025-11-28
  • 作者简介:

    任杰 讲师 (1983—),男,山东平原人,博士研究生,讲师,研究方向为空中交通流量管理、航班时刻优化。E-mail:

    曲仕茹 教授。

    王莉莉 教授。

  • 基金资助:
    中央高校自然科学一般项目(3122024042)

Optimization of flight slot for airport group considering needs of multiple stakeholders

REN Jie1,2(), QU Shiru2, WANG Lili1, ZHANG Jialiang1, SUN Zhiyuan1   

  1. 1 School of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
    2 School of Automation, Northwestern Polytechnical University, Xi'an Shaanxi 710072, China
  • Received:2025-05-16 Revised:2025-08-22 Published:2025-11-28

摘要: 为提升运营效率,保障飞行安全,综合考虑航空公司、空管部门、时刻协调单位和机场等多方需求,以机场容量、终端区走廊口容量及安全需求为约束,构建多目标航班时刻优化模型,实现机场群航班时刻分配的均衡与效率提升,并通过京津冀机场群中北京首都机场、北京大兴机场和天津滨海机场的实际航班数据验证模型的有效性。结果表明:优化后的航班时刻分布更加均衡,高峰时段航班数量减少7%,航空公司平均航班调整量降低18.2%,机场群航班调整总量减少10.4%;北京首都机场优化后提升了高峰时段的容量利用效率,冗余率由2.9%提高至8.3%;北京大兴机场优化后航班时刻更加均衡,冗余率由1.6%提高至6.5%;天津滨海机场优化后航班量控制在容量范围内,提高了安全裕度,冗余率由-13.9%提高至8.3%。模型可有效合理调配航班时刻,显著提升运行安全水平与资源利用效率。

关键词: 利益相关方, 机场群, 航班时刻优化, 机场容量, 走廊口, 京津冀, 运行安全

Abstract:

To enhance operational efficiency and ensure flight safety, a multi-objective flight slot optimization model was developed by comprehensively considering the requirements of airlines, air traffic control authorities, slot coordination authorities, and airports, subject to airport capacity, terminal waypoint capacity, and safety requirements. The model aimed to achieve balanced and efficient slot allocation within airport clusters, and its effectiveness was validated using actual flight data from Beijing Capital International Airport, Beijing Daxing International Airport, and Tianjin Binhai International Airport in the Beijing-Tianjin-Hebei airport cluster. The results show that the optimized slot distribution becomes more balanced, with peak-hour flight numbers reduced by 7%, the average adjustment per airline decreased by 18.2%, and the total adjustment across the airport cluster reduced by 10.4%. At Beijing Capital Airport, capacity utilization efficiency during peak hours is improved, with redundancy increasing from 2.9% to 8.3%. At Beijing Daxing Airport, slot distribution becomes more balanced, with redundancy increasing from 1.6% to 6.5%. At Tianjin Binhai Airport, the optimized flight volume is maintained within capacity limits, improving safety margins, with redundancy rising from -13.9% to 8.3%. The model effectively enables the rational allocation of flight schedules, significantly enhancing operational safety and resource utilization efficiency.

Key words: stakeholders, airport group, flight slot optimization, airport capacity, terminal waypoint, Beijing-Tianjin-Hebei region, operational safety

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