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

机译:空中交通管制员对类似轨迹预测错误的反应不同:管制员行为的中断时间序列分析

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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,在美国国家航空航天局(NASA)艾姆斯研究中心(Ames Research Center)的空域运营实验室进行了环内仿真。模拟空域包括两个航路扇区,它们馈送给亚特兰大终端雷达进近控制系统的西北角。本文的重点是研究轨迹预测的不确定性如何影响管制员履行职责的能力。特别令人感兴趣的是控制器在管理到达流量时如何与仪表表和数据块中显示的延迟信息进行交互。由于风速预报有30节的高估和30节的低估,因此延迟值计算包括相似幅度的误差,尽管方向相反。但是,当在出现这些错误的情况下执行任务时,尽管方向相反,管制员是否也会发出类似数量的许可?本文介绍了使用一种新颖的技术(中断时间序列)来检查控制器响应数据。

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