Differing air traffic controller responses to similar trajectory prediction errors: An interrupted time-series analysis of controller behavior

J. Mercer, S. Espinosa, Nancy Bienert, Sean Laraway
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引用次数: 3

Abstract

A Human-In-The-Loop simulation was conducted in January of 2013 in the Airspace Operations Laboratory at NASA's Ames Research Center. The simulation airspace included two en route sectors feeding the northwest corner of Atlanta's Terminal Radar Approach Control. The focus of this paper is on how uncertainties in the study's trajectory predictions impacted the controllers' ability to perform their duties. Of particular interest is how the controllers interacted with the delay information displayed in the meter list and data block while managing the arrival flows. Due to wind forecasts with 30-knot over-predictions and 30-knot under-predictions, delay value computations included errors of similar magnitude, albeit in opposite directions. However, when performing their duties in the presence of these errors, did the controllers issue clearances of similar magnitude, albeit in opposite directions? This paper describes the use of a novel technique (Interrupted Time Series) to examine the controller response data.
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不同空中交通管制员对相似轨迹预测误差的反应:管制员行为的中断时间序列分析
2013年1月,在美国宇航局艾姆斯研究中心的空域操作实验室进行了一次人在环模拟。模拟空域包括两个航路扇区,为亚特兰大终端雷达进近控制中心的西北角提供补给。本文的重点是研究轨迹预测中的不确定性如何影响控制器履行职责的能力。特别感兴趣的是控制器在管理到达流时如何与仪表列表和数据块中显示的延迟信息交互。由于风预报有30节的过度预测和30节的不足预测,延迟值的计算包括类似大小的误差,尽管方向相反。然而,在存在这些错误的情况下履行职责时,管制员是否签发了同样大小的许可,尽管方向相反?本文描述了使用一种新的技术(中断时间序列)来检查控制器响应数据。
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