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中国民航大学
纸质出版日期:2016,
网络出版日期:2016-7-20,
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徐涛,陈雪蕊,吕宗平.基于航迹聚类的终端区飞行程序轨迹表示[J].工程科学与技术,2016,48(6):188-196.
xutao, ChenXuerui, Lvzongping. Flight Procedure Representation of Terminal Area Based on Flight Tracks Clustering[J]. Advanced Engineering Sciences, 2016,48(6):188-196.
中文摘要: 为了定量评估飞行员严格按照规定的飞行程序执行飞行任务的能力,对终端区飞行程序轨迹的表示方法进行了研究。通常终端区范围内一条真实的航迹约有150个航迹点
而标准飞行程序仅使用4到9个航路点表示,不足以描述一条完整的航迹。针对这一问题,提出了基于航迹间面积加权的航迹相似性度量方法,并利用CURE算法实现航迹聚类。通过比较聚类集平均航迹和代表航迹分别与标准飞行程序的关系,建立了飞行程序轨迹表示模型。最后利用某大型国际机场的一条标准离场飞行程序以及实际运行航迹对提出的方法进行验证,实验表明,本文所述方法能更好的实现航迹聚类,并可准确地表示飞行程序轨迹,为分析与评估飞行员飞行品质提供理论基础和实践应用参考。
Abstract:In order to quantitatively evaluate the ability of the pilot to perform the flight tasks strictly in accordance with the specified flight procedure
the model of flight procedure representation of terminal area is studied. Typically
a true flight track of the terminal area has about 150 track points
but the standard flight procedure has only 4 to 9 points and is not sufficient to describe a full track. Aiming at this problem
a method to measure the similarity of the flight tracks based on the weighted track area is proposed and the CURE algorithm is improved to realize the flight track clustering. Based on the analysis of the relationship between the average track and the representative tracks of the clustering set
the representation model of flight procedure track is established. In the end
the proposed method is verified by using a standard departure flight procedure and the actual flight tracks in terminal area of a large international airport .The experiments show that the method proposed in this paper can not only achieve better flight track clustering performance
but also can accurately represent the flight track of the flight procedure. Therefore
the research in this paper provides the theoretical basis and potential practical application for the analysis and assessment of pilot's flight quality.
飞行程序航迹相似性CURE算法航迹聚类平均航迹
flight procedureflight track similarityCURE algorithmflight track clusteringmean flight track
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