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Visualizing complexities: the human limits of air traffic control

机译:可视化复杂性:空中交通管制的人类限制

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摘要

Air traffic management is organized into filters in order to prevent tactical controllers from dealing with complex conflicting situations. In this article, we describe an experiment showing that a dynamic conflict display could improve human performance on complex conflict situations. Specifically, we designed a display tool that represents the conflicting portions of aircraft trajectories and the evolution of the conflict zone when the user adds a maneuver to an aircraft. The tool allows the user to dynamically check the potential conflicting zones with the computer mouse before making a maneuver decision. We tested its utility on a population of forty students: twenty air traffic controller (ATC) students at the end of their initial training and twenty engineering students with the same background but no ATC training. They had to solve conflicts involving 2-5 aircraft with a basic display and with the dynamic visualization tool. Results show that in easy situations (2 aircraft), performance is similar with both displays. However, as the complexity of the situations grows (from 3 to 5 aircraft), the dynamic visualization tool enables users to solve the conflicts more efficiently. Using the tool leads to fewer unsolved conflicts and shorter delays. No significant differences are found between the two test groups except for delays: ATC students give maneuvers that generate less delays than engineering students. These results suggest that humans are better able to manage complex situations with the help of our conflict visualization tool.
机译:空中交通管理被组织成过滤器,以防止战术控制器处理复杂的相互矛盾情况。在本文中,我们描述了一个实验,表明动态冲突显示可以改善具有复杂冲突情况的人类性能。具体地,我们设计了一种显示工具,该​​显示工具代表飞机轨迹的冲突部分以及当用户向飞机增加时冲突区域的演变。该工具允许用户在进行机动决策之前用计算机鼠标动态检查电位冲突区域。我们对四十名学生的人口测试了它的效用:20个空中交通管制员(ATC)学生结束时,他们的初始培训和20名工程学生具有相同背景但没有ATC培训。他们必须解决涉及2-5架飞机的冲突,并使用动态可视化工具。结果表明,在简单的情况(2架飞机)中,两种显示器都很类似。然而,随着情况的复杂性成长(从3到5架飞机),动态可视化工具使用户能够更有效地解决冲突。使用该工具导致更少的未解决冲突和更短的延迟。除延误外,两种测试组之间没有发现显着差异:ATC学生提供比工程学生更少延误的机动。这些结果表明,在我们的冲突可视化工具的帮助下,人类更能能够管理复杂情况。

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