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通过ADS-B技术,人们可以获得大量的航迹数据,这使得采用航迹数据分析飞行程序成为可能,文中分析了4D航迹数据的特征,处理了异常数据并提取航迹特征值。采用模糊聚类法对进场航空器4D航迹飞行数据进行聚类分析,得出其平均中心航迹。以天津机场一段时期内同一方向进场航空器的4D航迹数据为依据,经实例分析表明,该方法可以为进离场程序设计是否合理提供参考。
Through the ADS-B technology, people can get a large amount of track data, which makes it possible to use the track data to analyze the flight program. In this paper, the characteristics of the 4D track data are analyzed, the abnormal data is processed and the track eigenvalues are extracted. Fuzzy clustering method was used to cluster the 4D flight path data of approach aircraft, and the average center track was obtained. Taking the 4D track data of the approach aircraft in the same direction of Tianjin Airport for a period of time as an example, the case study shows that this method can provide reference for the reasonable program design of departure.