基于数据驱动建模的多机场系统离场流分析  

Data driven Modeling of Air Traffic Departure Flow Analysis in Multi airport Systems

作　　者：程炳贺 赵征[1] CHENG Bing he;ZHAO Zheng(Nanjing University of Aeronautics and Astronautics,Nanjing 211000,China)

机构地区：[1]南京航空航天大学,江苏南京211000

出　　处：《航空计算技术》2022年第3期67-69,73,共4页Aeronautical Computing Technique

基　　金：民航安全能力建设项目资助([2021]294)。

摘　　要：多机场系统服务于相邻的两个或两个以上公共运输机场的空中交通需求。由于各机场空间上的邻近性和运行上的相互制约性,多机场系统空域具有高复杂性的特点。为了提高多机场系统的运行效率,我国实施了协调离场管理系统。为了研究空中交通离场流量与协调离场机制使用效率的相关性,提出了多机场系统空中交通离场流量分析框架。从离场流中提取特征向量,并将离场流特征化为时空聚类。提出了一种基于时间序列分析的时空聚类方法,表征多机场系统中机场离场流与放行方向的相关性;通过对协调离场管理实施前后的离场流进行分析,找出协调离场管理的优势。基于长三角多机场系统实施协调离场管理系统前后6年(2010—2015年)的历史运行数据,验证了协调离场管理系统增强了多机场离港流之间的相关性。Multi airport systems(MAS)serve air traffic demand in cities with two or more airports.Due to the spatial proximity and operational interdependency of the airports,MAS airspaces are characterized by high complexity.To increase operational efficiency in such systems,coordinate departure management(CDM)systems have been implemented.To research correlation between air traffic departure flow and the efficiency of CDM usage,a framework for air traffic departure flow analysis in MAS has been proposed.First,we extract feature vectors from departure flow and characterize departure flow into a spatio temporal clustering.Second,we present a time series analysis based spatio temporal clustering and that is used to characterize the departure flow correlation between airports and release directions in MAS.Through departure flow analysis with and without CDM applied,we compare both scenarios to find out the efficiency of CDM system usage.Finally,it is demonstrated that CDM system enhances the correlation between departure flow of MAS,based on the 6 years(from year 2010 to 2015)aircraft movement data from the Yangtze River Delta MAS,which use CDM system from year 2013.

关 键 词：多机场系统 协调离场管理 相关系数 空中交通离场流量 

分 类 号：V352[航空宇航科学与技术—人机与环境工程]