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A Mindset-Based Evolution of Unmanned Aircraft System (UAS) Acceptance Into the National Airspace System (NAS)

机译：基于心态的无人机系统（UAS）接受国家空域系统（NAS）的演变

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摘要

The main goal of this research is to evaluate the Air Traffic Controller (ATCo) workload considering the Unmanned Aircraft System (UAS) integration into the National Airspace System (NAS) through fast-time simulations, and including futuristic scenarios in which the ATCo is familiar with manned and unmanned aircraft, i.e., different ATCo mindsets are considered. As these professionals play an essential role in optimizing the airspace operation, maintaining their workload at an acceptable level is essential. However, the integration of new technologies, such as UAS, may present an impact on safety levels from the workload perspective. In this context, the Technology Maturity Level (TML), which is a systematic metric/measurement system that supports assessments of the familiarity of a particular aircraft with ATCos, is proposed. The experiments showed that the integration of UAS into the NAS should be conducted gradually.
机译：本研究的主要目标是通过快速仿真将无人机系统（UAS）集成到国家空域系统（NAS）中的空中交通管制员（ATCO）工作量，包括ATCO熟悉的未来情景与载人和无人驾驶飞机，即考虑了不同的Atco Mindsets。由于这些专业人员在优化空域操作方面发挥了重要作用，因此在可接受的水平下保持其工作量至关重要。然而，新技术的整合，例如UAS，可能对工作负载视角产生对安全水平的影响。在这种情况下，提出了一种技术成熟度（TML），其是支持对具有ATCOS的特定飞机熟悉评估的系统度量/测量系统。实验表明，应逐渐进行UAS进入NAS的整合。

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