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User selection criteria of airspace designs in Flexible Airspace Management

机译:灵活空域管理中空域设计的用户选择标准

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Flexible Airspace Management (FAM) concept offers to dynamically modify the center/sector boundaries in such way that the airspace structure is reconfigured to better distribute unbalanced traffic demands across sectors. A set of airspace design algorithms were used in the human-in-the-loop simulation to assess possible benefits of the FAM concept. In the simulation, participants were instructed to pick an algorithm-generated airspace configuration from a set of configuration options that best solved the weather-induced traffic imbalance problems in the test airspace. Participants also rated the acceptability of the airspace designs that were generated by different algorithms. This paper explores ways to objectively quantify airspace characteristics of these algorithm-generated configurations using a set of benefits and airspace quality metrics and to compare them to the participants' acceptability ratings obtained from the simulation. Both benefits and airspace quality metrics were hypothesized to correlate with the participants' ratings. The results showed that participants' selection correlated mainly with the benefits metrics, while airspace quality metrics did not play a big role.
机译:灵活的空域管理(FAM)概念提供了动态修改中心/部门边界的方式,以便重新配置空域结构,以更好地在各个部门之间分配不平衡的交通需求。在人在环仿真中使用了一组空域设计算法,以评估FAM概念可能带来的好处。在模拟中,指示参与者从一组配置选项中选择算法生成的空域配置,该配置选项可以最好地解决测试空域中由天气引起的交通不平衡问题。与会者还对由不同算法生成的空域设计的可接受性进行了评估。本文探讨了使用一组收益和空域质量指标来客观地量化这些算法生成的配置的空域特征的方法,并将其与从模拟中获得的参与者的可接受性等级进行比较。假设收益和空域质量指标均与参与者的评分相关。结果表明,参与者的选择主要与收益指标相关,而空域质量指标则没有太大作用。

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