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Automated Scenario Generation for Human-in-the-Loop Simulations

机译:用于在环仿真的自动场景生成

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摘要

Automated Multi-Aircraft Control System scenario generation for Human-in-the-Loop evaluations of air traffic management concepts is described. The objective is to replace the difficult manual process with the automated process for creating an initial (seed) scenario that serves as a starting point for manual adjustments for creating the Human-in-the-Loop scenario. Methods for analyzing and comparing the seed-scenario generated using the automated process and the Human-in-the-Loop-scenario derived from it to meet the experiment objectives are discussed. Results of comparison of input Human-in-the-Loop-scenario with the Multi-Aircraft Control System output are also presented. The main findings are: (1) many of the characteristics of the seed-scenario used for constructing the Human-in-the-Loop-scenario are preserved in the Human-in-the-Loop-scenario, (2) landing rate profile of the traffic generated by the Multi-Aircraft Control System using the input scenario compares reasonably well with that intended in the input scenario, and (3) many of the desired characteristics of the Human-in-the-Loop-scenario can be achieved by further automation.
机译:描述了用于在空中评估空中交通管理概念的自动化多飞机控制系统场景生成。目的是用创建初始(种子)方案的自动化过程代替困难的手动过程,该过程充当手动调整以创建“在车中人”场景的起点。讨论了用于分析和比较使用自动过程生成的种子场景以及从中衍生的人在场景中满足实验目标的方法。还给出了输入的人在环情形与多飞机控制系统输出的比较结果。主要发现是:(1)用于构建环人场景的种子场景的许多特征都保留在环人场景中;(2)着陆率分布图多飞机控制系统使用输入场景所产生的交通流量与输入场景中的预期交通流量相比相当好,并且(3)可以通过以下方法实现“环内场景”的许多期望特征进一步的自动化。

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