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Ecological interface design: Control space robustness in future trajectory-based Air Traffic control decision support

机译:生态界面设计:在未来基于轨迹的空中交通管制决策支持中控制空间鲁棒性

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The current evolution of the Air Traffic Management system towards trajectory-based operations is foreseen to bring large changes to the work domain of the Air Traffic Controller. Although this new form of Air Traffic Control leans heavily on the introduction of advanced automation, the general consensus is that the human must remain actively involved in the decision-making loop, and retain the ultimate responsibility for the safety of operations. These responsibilities, together with the complexities of the new task, require the development of innovative decision support tools. In previous research, and following the principles of Ecological Interface Design, a constraint-based decision support tool has been developed for the task of strategic trajectory manipulation. Rather than presenting discrete optimized solutions to the controller, this Travel Space Representation visualizes the constraints for safe control in the form of a set of `go' and `no go' areas. A validation experiment demonstrated that when using this tool, controllers sometimes opted for controlling close to the boundaries of safe control, or for resolutions in narrow control spaces. These results gave rise to concern that such a representation could actually work against the flexibility of the system to cope with inherent system variability. In this study, a metric and two measures have been developed in order to quantify and compare trajectory-based robustness to probabilistic disturbances. A batch-analysis has been performed to investigate how these measures vary for a crossing pair of aircraft under various geometry. Results show that the metric captures additional information which is currently not represented in the tool. When visualized to the controller, this could support them to choose more robust control strategies.
机译:可以预见,空中交通管理系统当前向基于轨迹的运行发展,将给空中交通管制员的工作领域带来巨大变化。尽管这种新形式的空中交通管制在很大程度上依赖于先进的自动化技术的引入,但普遍的共识是,人类必须积极参与决策流程,并为运营安全承担最终责任。这些职责以及新任务的复杂性要求开发创新的决策支持工具。在先前的研究中,遵循生态界面设计的原则,针对战略轨迹操纵的任务开发了基于约束的决策支持工具。该行程空间表示法不是向控制器提供离散的优化解决方案,而是以一组“通过”和“禁止通过”区域的形式可视化安全控制的约束条件。一项验证实验表明,使用此工具时,控制器有时会选择接近安全控制的边界进行控制,或者选择在狭窄的控制空间中进行分辨率控制。这些结果引起了人们的关注,即这种表示实际上可能不利于系统的灵活性以应对固有的系统可变性。在这项研究中,为了量化和比较基于轨迹的鲁棒性对概率性干扰,已经开发了一种度量和两种度量。已经进行了批量分析,以研究在不同几何形状的交叉飞行器中这些度量如何变化。结果表明,该度量标准捕获了工具中当前未表示的其他信息。当可视化到控制器时,这可以支持他们选择更强大的控制策略。

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