Dynamic Boundary Optimization of Free Route Airspace Sectors

被引：2
|
作者：
Yang, Lei [1 ]
Huang, Jue [1 ]
Gao, Qi [1 ]
Zhou, Yi [1 ]
Hu, Minghua [1 ]
Xie, Hua [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, 29 Jiangjun Ave, Nanjing 211106, Peoples R China
来源：
AEROSPACE | 2022年 / 9卷 / 12期
基金：
中国国家自然科学基金;
关键词：
airspace capacity management; air traffic complexity; uncertainty measurement; air traffic control workload; automatic boundary adjustment; heuristic algorithm; Binary Space Partition; DESIGN; CONFIGURATION; ALGORITHM; WORKLOAD;
D O I：
10.3390/aerospace9120832
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Free Route Airspace (FRA) permits users to freely plan routes between defined entry and exit waypoints with the possibility of routing via intermediate waypoints, which is beneficial to improve flight efficiency. Dynamic management of sectors is essential for the future promotion of full-time FRA applications. In this paper, considering the demand uncertainty at the pre-tactical level, we construct an FRA complexity indicator system and use the XGBoost algorithm to predict the ATC workload. A two-stage sector boundary optimization method is proposed, using Binary Space Partition (BSP) to generate sector boundaries and an A*-based heuristic algorithm to automatically tune them to conform to the operational structure and "direct to" characteristics of FRA. Finally, this paper verifies the effectiveness of the proposed method for balancing ATC workload in a pre-designed Lanzhou FRA in China.
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页数：30
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