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An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT)

机译:尾流涡流重新分类的影响评估:以夏洛特道格拉斯国际机场(CLT)为例

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摘要

This study compared departures before and after wake recat implementation at CLT. In both periods, departure counts and departure demand loaded highly onto Factor 1, arrival demand and gate departure delays onto Factor 2, and taxi-out time onto Factor 3. A two-level negative binomial mixed-effects model considered the random effects of approach conditions on operations. Only gate departure delay was significant within and across both samples. NextGen capabilities including wake recat appeared to minimize the random effects of instrument approach conditions (LAC) on operations in both samples. Wake recat increased departure throughputs in IAC and enabled multiple departure pushes throughout the day.
机译:这项研究比较了CLT实施唤醒重做之前和之后的离开情况。在这两个时期中,出发点数量和出发需求都对因子1造成了很大的负担,到达需求和登机口延迟对因子2造成了严重影响,滑行时间对因子3造成了严重影响。两级负二项式混合效应模型考虑了进场的随机效应操作条件。在两个样本之内和之间,只有登机口延迟很明显。包括唤醒功能在内的NextGen功能似乎可以将仪器进场条件(LAC)对两个样本中的操作的随机影响最小化。重新唤醒后,IAC中的出发量得以提高,并全天支持多次出发。

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