A complexity metric for automated separation

Arwa S. Aweiss
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引用次数: 1

Abstract

A metric is proposed to characterize airspace complexity with respect to an automated separation assurance function. The Maneuver Option metric is a function of the number of conflict-free trajectory change options the automated separation assurance function is able to identify for each aircraft in the airspace at a given time. By aggregating the metric for all aircraft in a region of airspace, a measure of the instantaneous complexity of the airspace is produced. A six-hour simulation of Fort Worth Center air traffic was conducted to assess the metric. Results showed aircraft were twice as likely to be constrained in the vertical dimension than the horizontal one. By application of this metric, situations found to be most complex were those where level overflights and descending arrivals passed through or merged into an arrival stream. The metric identified high complexity regions that correlate well with current air traffic control operations. The Maneuver Option metric did not correlate with traffic count alone, a result consistent with complexity metrics for human-controlled airspace.
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自动分离的复杂度度量
提出了一种基于自动分离保证函数来表征空域复杂性的度量。机动选项度量是自动分离保证功能能够在给定时间识别空域中每架飞机的无冲突轨迹改变选项数量的函数。通过对空域内所有飞机的度量进行聚合,得到空域瞬时复杂度的度量。对沃斯堡中心的空中交通进行了为期六小时的模拟,以评估这一指标。结果显示,飞机受到垂直维度约束的可能性是水平维度约束的两倍。通过应用这一度量,发现最复杂的情况是那些水平飞越和下降到达经过或合并为到达流的情况。该指标确定了与当前空中交通管制操作密切相关的高复杂性区域。机动选项度量并不仅仅与交通量相关,结果与人为控制空域的复杂性度量一致。
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