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首页> 外文期刊>Annales Mathematicae et Informaticae >Functional model of a decision support tool for Air Traffic Control supervisors
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Functional model of a decision support tool for Air Traffic Control supervisors

机译：空中交通管制监督员决策支持工具的功能模型

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The optimization of operator workload in Air Tra.c Control systems is of high importance regarding both safety and e.ciency of air transportation. The default means of optimizing workload in practice is division of tra.c among controllers by splitting the airspace into sectors. Decisions about opening or closing sectors are made by a human supervisor who can some- times encounter di.culties during decision making, especially when facing uncommon tra.c situations. This makes it advisable to create a decision support tool designed to au- tomate decision making by suggesting a sector configuration based on tra.c complexity to the supervisor. The main modules of this tool are centered on a model of cognitive functions that have to be executed by the supervisor throughout the decision making process. The functions include prediction of future tra.c, calculation of complexity and determining optimal sector states to finally produce the optimal configuration. In this paper, we outline the formal description of the functionality of the tool's modules, focusing on the algorithms they should implement.
机译：在航空运输控制系统中，优化操作员的工作量对于航空运输的安全性和效率都至关重要。在实践中优化工作量的默认方法是通过将空域划分为多个扇区来在控制器之间划分tra.c。关于打开或关闭部门的决定是由人的主管做出的，他有时会在决策过程中遇到困难，尤其是在面对罕见的交通情况时。因此建议创建一个决策支持工具，该工具旨在通过向主管建议基于交通复杂性的部门配置来实现决策的自动化。该工具的主要模块以认知功能模型为中心，该功能必须由主管在整个决策过程中执行。这些功能包括对未来交易的预测，复杂度的计算以及确定最佳扇区状态以最终产生最佳配置。在本文中，我们概述了该工具模块功能的形式描述，着重于它们应实现的算法。

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