中国民航大学学报 ›› 2021, Vol. 39 ›› Issue (5): 7-10.

• 民用航空 • 上一篇    下一篇

基于容流匹配的机场离场航班时刻优化 ——以上海浦东国际机场为例

杨 琳, 李纯柱, 张 楠 ,卢婷婷    

  1. (1. 上海机场(集团)有限公司技术中心,上海 200050;2. 中国民用航空华北地区空中交通管理局天津分局,天津 300300; 3.中国民航大学空中交通管理学院,天津 300300)
  • 收稿日期:2021-09-11 修回日期:2021-09-11 接受日期:2021-07-31 出版日期:2021-10-20 发布日期:2021-10-31
  • 作者简介:杨琳(1983—),女,辽宁本溪人,工程师,学士,研究方向为空中交通管理。
  • 基金资助:
    中央高校基本科研业务费专项(3122017061) 

Research on Departure Flight Schedule Optimization of Pudong Airport Based on Capacity Flow Matching

YANG Lin , LI Chunzhu , ZHANG Nan , LU Tingting   

  1. (1. Technology Center of Shanghai Airport (Group) Co., Ltd., Shang Hai 200050, China; 2. Tianjin Branch of CAAC North China Air Traffic Control Bureau, Tianjin 300300, China; 3. Air Traffic Management College of Civil Aviation University of China, Tianjin 300300, China)
  • Received:2021-09-11 Revised:2021-09-11 Accepted:2021-07-31 Online:2021-10-20 Published:2021-10-31

摘要:

区域管制扇区容量是影响航班正常率的重要因素遥。为减少航班延误,基于区域管制扇区的容流匹配,同时考虑航空公司的航班时刻资源配置,对上海浦东国际机场高峰期离场航班进行建模分析,以航班总延误时间最短为目标,以机场容量·区域管制扇区容量·航班时刻调整量为约束条件,对航班时刻进行微调优化,利用软件仿真对高峰期航班时刻优化前后进行对比验证。结果表明,在保证区域管制扇区容流匹配和航空公司时刻资源配置基本不变的情况下对上海浦东国际机场的航班时刻进行优化,可大幅减少机场航班总延误时间。

关键词: 航班时刻优化, 区域管制扇区, 容流匹配, 航班时刻资源配置

Abstract: The capacity of the area control sector is an important factor affecting the normality of flights. In order to reduce flight delays, based on the capacity and flow matching of the area control sector, while considering the airline's flight slot resource allocation袁the Shanghai Pudong International Airport's peak period flights are modeled and analyzed, with the shortest total flight delay time as the goal, with airport capacity, area control sector capacity, and flight schedule adjustments as constraints, the flight schedules were fine-tuned and optimized袁and software simulation is used to compare and verify the data obtained before and after optimization of flight schedules during the period. The results show that the optimization of Pudong Airport's flight schedule has greatly reduced the total flight delay time of the airport while ensuring that the airline's resource allocation remains basically unchanged.

Key words:  flight schedule optimization, area control sector, capacity flow matching, flight time resource allocation

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