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

机译:不同的空中流量控制器对类似的轨迹预测误差的响应:控制器行为中断的时间序列分析

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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.
机译:2013年1月在美国宇航局的AMES研究中心的空域运营实验室进行了人类的仿真。仿真空间包括两个通路部门,喂食亚特兰大终端雷达的西北角控制。本文的重点是研究研究的轨迹预测的不确定性如何影响控制器履行其职责的能力。特别感兴趣的是控制器如何与仪表列表和数据块中显示的延迟信息相互作用,同时管理到达流量。由于风雨预测30结过预测和30结欠预测,延迟值计算包括相似幅度的误差,尽管相反的方向。但是,在存在这些错误的情况下履行职责时,控制器是否涉及相似幅度的间隙,尽管在相反的方向?本文介绍了使用新技术(中断时间序列)来检查控制器响应数据。

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