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机构地区:[1]中国民航大学计算机科学与技术学院,天津300300 [2]中国民航信息技术科研基地,天津300300
出 处:《四川大学学报(工程科学版)》2016年第6期188-196,共9页Journal of Sichuan University (Engineering Science Edition)
基 金:国家科技支撑计划资助项目(2014BAJ04B02);中央高校基本科研业务费专项基金资助项目(3122013P013)
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4~9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地实现航迹聚类,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。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 was 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 was proposed and the CURE algorithm was 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 was established. In the end, the pro- posed method was verified by using a standard departure flight procedure and the actual flight tracks in terminal area of a large international airport. The experiments showed that the proposed method can not only achieve better flight track clustering performance, but also accurately represent the flight track of the flight procedure. Therefore, the research provides the theoretical basis and potential practical application for the analysis and assessment of pilot' s flight quality.
关 键 词:飞行程序 航迹相似性 CURE算法 航迹聚类 平均航迹
分 类 号:V355[航空宇航科学与技术—人机与环境工程]
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