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A threshold based airspace capacity estimation method for UAS traffic management

机译：基于阈值的UAS交通管理空域容量估计方法

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This paper provides a mathematical method for airspace capacity estimation. It is motivated by the need to assess the impact of unmanned aircraft systems on low altitude airspace operations. We define capacity as a minimum of metric-specific phase transition thresholds. The definition is flexible to accommodate a wide variety of metrics defined for the airspace and hence, can be used to compare different unmanned traffic management system approaches. We provide a proof of concept using a metric based on the size of de-confliction problems. The probability of occurrence of large conflicts show phase transition as the traffic density is increased. The traffic density at phase transition i.e. the metric-specific capacity measure, increases with decreasing minimum separation tolerance. Traffic management systems which allow for a higher proximity between aircraft should therefore improve the airspace capacity. Further work must incorporate a wider range of metrics and "sense and avoid" algorithms for a more rigorous validation and application of our airspace capacity estimation method.
机译：本文为空域容量估计提供了一种数学方法。其动机是需要评估无人驾驶飞机系统对低空空域运行的影响。我们将容量定义为度量标准特定的相变阈值的最小值。该定义很灵活，可以适应为空域定义的各种度量，因此可以用来比较不同的无人交通管理系统方法。我们使用基于冲突冲突大小的度量标准提供概念验证。随着流量密度的增加，发生大冲突的可能性显示出相变。相变时的流量密度，即按指标特定的容量度量，随着最小分隔公差的减小而增加。因此，允许飞机之间有更高距离的交通管理系统应改善空域容量。进一步的工作必须结合更广泛的度量标准和“感知并避免”算法，以更严格地验证和应用我们的空域容量估算方法。

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