An airspace capacity-based safety assessment model considering UAS integration

Neto, Euclides Carlos Pinto; Baum, Derick Moreira; Hernandez-Simoes, Carlos E.; Almeida, Jorge Rady de; Camargo, João Batista; Cugnasca, Paulo Sérgio

doi:10.1109/icuas.2017.7991387

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Integrating UAVs into non-segregated airspace poses complex challenges for ATC operations. Defining the correlation between UAVs and ATC and understanding potential issues is crucial (Baum et al, 2019;Neto et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Air Traffic Controllers' Perspectives on Unmanned Aerial Vehicles Integration into Non-Segregated Airspace

Tuncal

2024

Journal of Aviation

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The integration of Unmanned Aerial Vehicles (UAVs) into non-segregated airspace presents both opportunities and challenges for air traffic control (ATC). The aim of the study is to explore the perspectives of air traffic controllers on the current and anticipated challenges, workload, stress factors, performance errors, and mitigation strategies related to UAV integration. The sample consisted of 213 air traffic controllers in Türkiye. UAV operations have been available in Türkiye not only for military purposes but also for purposes such as forest fires, earthquakes, security, and others for a long time, and these UAV operations are provided with air traffic services (ATS) by air traffic controllers. The results show that air traffic controllers are concerned about mid-air collisions due to UAV technology limits and regulatory gaps, along with managing risks and unique flight characteristics. Addressing technology limitations, regulatory ambiguity, and other factors necessitates a comprehensive strategy. Solutions must prioritize collision avoidance systems, clear communication guidelines, and defined no-fly zones. It is recommended that future studies focus on the comprehensive impact of UAVs on air traffic operations and the development of regulations.

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Section: Literature Reviewmentioning

confidence: 99%

Air Traffic Controllers' Perspectives on Unmanned Aerial Vehicles Integration into Non-Segregated Airspace

Tuncal

2024

Journal of Aviation

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“…However, future calibrations on the activities performed as well as on their duration may be considered. These additional activities are [37]:…”

Section: Technology Maturity Level (Tml) Propositionmentioning

confidence: 99%

“…For example, bugs in software may maneuver the aircraft and assign it to undesired headings. Also, considering RPAS, failures in the Command and Control (C2) link, i.e., the link the pilot uses to communicate to the aircraft, may lead to unsafe states [19], [37]. Furthermore, the relationship between UAS and ATC needs to be well-defined, due to the impacts on the ATC capacity these aircraft may present.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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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. INDEX TERMS Unmanned aircraft system (UAS), National Airspace System (NAS), Air Traffic Controller (ATCo), safety, workload.

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