Evaluation of Air Traffic Steadiness in Arrival Operations based on Statistical Analysis and Trajectories Clustering
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To improve operational efficiency and facilitate decision support in the air traffic management domain, a method is proposed to evaluate the air traffic steadiness in arrival operations, referring to the quality of arrival traffic that is steady--regular as well as unvarying, in addition, focusing on two aspects: the smoothness of intervals of flight time & distance between arrivals on final and the coherence of arrival trajectories. Firstly, the intervals of flight time & distance between arrivals when reaching 1,000ft on final are counted, then both qualitative and quantitative analyses are applied to explore the distribution form, parameter characteristics, and statistical data for illustrating the performance. Secondly, two sub-methods are used in terms of the coherence of trajectories: on the one hand, research the similarity between the arrival trajectories simplified by Douglas-Peucker algorithm and standard terminal arrival routes based on the vertical distance to show the degree of STARs’ execution; on the other hand, cluster trajectories based on multiple features through DBSCAN algorithm to detect outliers, reflecting the uniformity of trajectories between each other. Finally, taking a typical Chinese airport into account, a case study comparing the performance of two periods is carried out to validate the provided methods.