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Proximity versus dynamicity An analysis of traffic patterns at major European airports

机译:邻近性与动态性分析欧洲主要机场的交通方式

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This paper presents an analysis of proximity and dynamicity aspects between arrival flights at five major European airports representative of different types of operations. The analysis, purely data driven, relies on two existing indicators of proximity and dynamicity, in combination with the additional time representing the level of congestion, and at different time horizons. The analysis considers more than 300.000 arrival flights in total, in an area of 50NM around each airport. The analysis aims at assessing the exposure to small distance and small closure time (below 2 times the separation and 2 minutes). The main results are: (1) overall duration of exposure in the order of 4.0min for distance and 3.8min for closure time (95% percentile); (2) differences among the airports for similar levels of congestion by a factor of 2.3 for both distance and closure time (additional time in 0-5min); and (3) increase with the level of congestion for some airports by a factor of 1.8 for distance and 1.2 for closure time (additional time from 0 to 5min). The analysis at different time horizons provide more insight on the location and duration of exposure, in relation with the additional time. Future work will involve identifying the causes of the differences observed among the airports, as well as further analyzing traffic patterns with close proximity and high dynamicity. It will also involve extending the analysis to all flows in the area.
机译:本文对代表不同运营方式的五个欧洲主要机场的到达航班之间的近距离和动态性进行了分析。纯粹由数据驱动的分析依赖于两个现有的接近性和动态性指标,以及代表不同拥堵程度且处于不同时间范围的额外时间。分析考虑在每个机场周围50NM区域内总共超过300.000到达航班。该分析旨在评估在短距离和短关闭时间(间隔小于2倍,间隔2分钟)内的暴露程度。主要结果是:(1)总体暴露时间为距离为4.0分钟,闭合时间为3.8分钟(95%百分位); (2)相似的拥挤程度在机场之间的距离和关闭时间的差异为2.3倍(附加时间为0-5分钟); (3)随着某些机场的拥挤程度的增加,距离增加1.8倍,关闭时间增加1.2倍(附加时间为0到5分钟)。在不同的时间范围内进行的分析提供了关于暴露位置和持续时间以及更多时间的更多信息。未来的工作将包括查明在机场之间观察到差异的原因,以及进一步分析具有高度邻近性和高动态性的交通模式。它还将涉及将分析扩展到该区域中的所有流量。

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