摘要
为了使有限的空域资源得到合理的利用,同时平衡管制员的工作负荷,研究了基于谱聚类的扇区划分问题。提出了点的靠近程度,结合对实际航迹数据的检测,建立了带有权重的空域网络结构模型;利用谱聚类算法对空域中的关键点进行聚类,解决了管制扇区划设时协调负荷过大的问题,通过voronoi图生成扇区边界并进行几何修正;利用提出的方法,以太原地区的空域为例进行分析,并结合了TAAM仿真,验证了该扇区划分方法的有效性和合理性。
In order to make reasonable use of limited airspace resources while balancing the workload of controllers,the problem of sector division based on spectral clustering is studied.First.the proximity of points is proposed,and the structure model of the airspace network with weights is established in conjunction with the detection of actual flight path data.Then,a spectral clustering algorithm is used to cluster the key points in the airspace,the problem of excessive coordination load for control sector division,sector boundaries are generated and geomerically corrected by voronoi diagrams.Finally,the method proposed in this paper is used to analyze the airspace of Taiyuan area as an example and combined with TAAM simulation to verify the validity and rationality of the sector division method in this paper.
作者
高伟
陈姝含
叶志坚
吕振华
GAO Wei;CHEN Shu-han;YE Zhi-jian;LYU Zhen-hua(College of Air'Traffic Management,Civil Aviation University of China,Tianjin 300300,China)
出处
《火力与指挥控制》
CSCD
北大核心
2021年第12期32-38,共7页
Fire Control & Command Control
基金
国家自然科学基金资助项目(62173332)。
关键词
管制员工作负荷
终端区
扇区划分
谱聚类
TAAM
controller's workload
terminal area
sector division
spectral clustering
TAAM
