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How do Air Traffic Controllers Use Automation and Tools Differently During High Demand Situations?

机译:在高需求情况下,空中交通管制员如何使用自动化和工具?

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In a human-in-the-loop simulation, two air traffic controllers managed identical airspace while burdened with higher than average workload, and while using advanced tools and automation designed to assist with scheduling aircraft on multiple arrival flows to a single meter fix. This paper compares the strategies employed by each controller, and investigates how the controllers' strategies change while managing their airspace under more normal workload conditions and a higher workload condition. Each controller engaged in different methods of maneuvering aircraft to arrive on schedule, and adapted their strategies to cope with the increased workload in different ways. Based on the conclusions three suggestions are made: that quickly providing air traffic controllers with recommendations and information to assist with maneuvering and scheduling aircraft when burdened with increased workload will improve the air traffic controller's effectiveness, that the tools should adapt to the strategy currently employed by a controller, and that training should emphasize which traffic management strategies are most effective given specific airspace demands.
机译:在环人仿真中,两个空中交通管制员管理着相同的空域,同时承担了超过平均水平的工作量,同时使用先进的工具和自动化技术来协助将飞机的多次到达流量调度到一个仪表位置。本文比较了每个管制员所采用的策略,并研究了在更正常的工作量条件和更高的工作量条件下,管制员的策略在管理其空域时是如何变化的。每个管制员采用不同的操纵飞机的方法以按时到达,并调整其策略以不同的方式应对增加的工作量。根据结论,提出了三点建议:在工作量增加的情况下,迅速向空中交通管制员提供建议和信息,以协助飞机的机动和调度,将提高空中管制员的效力,这些工具应适应当前由航空公司采用的策略。管制员,并且培训应强调在特定空域需求下哪种交通管理策略最有效。

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