中国民航大学学报 ›› 2025, Vol. 43 ›› Issue (6): 31-37.

• 航空运输管理 • 上一篇    下一篇

基于四阶段法的管制区飞行流量预测

  

  1. 1. 中国民航大学空中交通管理学院,天津 300300; 2. 陕西中宇航空科技有限公司,西安 710000
  • 收稿日期:2024-03-12 修回日期:2024-04-30 出版日期:2025-12-20 发布日期:2026-01-10
  • 作者简介:马兰(1966— ),女,甘肃兰州人,教授,博士,研究方向为 4D 航迹及动态路径规划.
  • 基金资助:
    工信部民用飞机专项科研项目(MJ-2020-S-03)

Air traffic flow forecast in the control area based on the four-stage method

  1. 1. College of Air Traffic Management, CAUC, Tianjin 300300, China; 2. Shaanxi Zhongyu Aviation Technology
    Co., Ltd., Xi′an 710000, China
  • Received:2024-03-12 Revised:2024-04-30 Online:2025-12-20 Published:2026-01-10

摘要:

为解决各空中交通管理局独立预测管制区飞行流量而导致的航线流量分布不匹配、空域资源分配不公平
问题,本文根据四阶段法预测理论,研究了管制区飞行流量及其内部航线流量分布的预测方法。 利用灰色预
测模型对管制区内航班源机场的航班起降架次进行预测;建立双约束重力模型求解各机场所属 OD(origin destination)小区之间的飞行流量分布;运用多项 Logit 模型进行 OD 小区之间航线流量分布的预测,叠加航
线流量分布可得到管制区飞行流量的预测结果。 以西安区域管制区为例对该方法进行验证,结果表明:该方
法在保证航线流量分布相匹配的前提下能有效实现管制区飞行流量的预测,可为全国层面航线流量分布和管
制区飞行流量的统一预测提供参考。

关键词:

Abstract:

In order to solve the problem of the mismatch of traffic flow distribution across airways and the unfair allocation
of airspace resources resulting from independent air traffic flow forecasts conducted by individual air traffic control bureaus, this study proposes a forecasting method based on the four-stage prediction theory for estimating
both overall air traffic flow in the control area and the traffic flow distribution across its internal airways. The
grey prediction model was employed to forecast the number of flights from source airports within the control area.
A double-constrained gravity model was established to estimate the distributed air traffic flow between origin destination (OD) pairs associated with these airports. The multinomial Logit model was then applied to predict
the traffic flow distribution across airways between the OD pairs, and the forecasted air traffic flow for the control
area was obtained by aggregating these distributed flows. The method was validated using the Xi′ an Regional
Control Area as a case study. The results show that this method can effectively realize the air traffic flow forecast
within the control area while ensuring consistency in the traffic flow distribution across airways. It can serve as a
reference for the unified forecast of both traffic flow distribution across airways and control area air traffic flow at
the national level.

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