Airspace Designs and Operations for UAS Traffic Management at Low Altitude

As the usability of and demand for unmanned aerial vehicles (UAVs) have increased, it has become necessary to establish a UAS traffic management (UTM) system for efficient UAV operations at low altitudes. To avoid collisions with ground obstacles, other UAVs, and manned aircraft, in building a safe...

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Main Authors: Ui-Jeong Lee, Sang-Jun Ahn, Dong-Young Choi, Sang-Min Chin, Dae-Sung Jang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/10/9/737
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author Ui-Jeong Lee
Sang-Jun Ahn
Dong-Young Choi
Sang-Min Chin
Dae-Sung Jang
author_facet Ui-Jeong Lee
Sang-Jun Ahn
Dong-Young Choi
Sang-Min Chin
Dae-Sung Jang
author_sort Ui-Jeong Lee
collection DOAJ
description As the usability of and demand for unmanned aerial vehicles (UAVs) have increased, it has become necessary to establish a UAS traffic management (UTM) system for efficient UAV operations at low altitudes. To avoid collisions with ground obstacles, other UAVs, and manned aircraft, in building a safe path, the UTM needs to determine the time and space allocated to each flight. Ideas for discretizing and structuring airspace in various forms have been proposed to enhance the efficiency of system operation and improve traffic congestion through effectual airspace allocation. Additionally, various methods of allocating UAVs to structured unit spaces have been studied in the literature. In this paper, the methods and structural designs for allocating airspace that have appeared in related studies are classified into several types, and their strengths and weaknesses are analyzed. The structured airspace designs are categorized into three models: Air-Matrix, Air-Network, and Air-Tube, and analyzed according to their sub-structures and temporal allocation methods. In addition, a quantitative analysis is conducted by re-categorizing the structured airspace and operation methods and building their combinations.
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spelling doaj.art-e007cd12640d4586a1e0be0eb18ee43c2023-11-19T09:04:10ZengMDPI AGAerospace2226-43102023-08-0110973710.3390/aerospace10090737Airspace Designs and Operations for UAS Traffic Management at Low AltitudeUi-Jeong Lee0Sang-Jun Ahn1Dong-Young Choi2Sang-Min Chin3Dae-Sung Jang4School of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si 412-791, Republic of KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si 412-791, Republic of KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si 412-791, Republic of KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si 412-791, Republic of KoreaSchool of Aerospace and Mechanical Engineering, Korea Aerospace University, Goyang-si 412-791, Republic of KoreaAs the usability of and demand for unmanned aerial vehicles (UAVs) have increased, it has become necessary to establish a UAS traffic management (UTM) system for efficient UAV operations at low altitudes. To avoid collisions with ground obstacles, other UAVs, and manned aircraft, in building a safe path, the UTM needs to determine the time and space allocated to each flight. Ideas for discretizing and structuring airspace in various forms have been proposed to enhance the efficiency of system operation and improve traffic congestion through effectual airspace allocation. Additionally, various methods of allocating UAVs to structured unit spaces have been studied in the literature. In this paper, the methods and structural designs for allocating airspace that have appeared in related studies are classified into several types, and their strengths and weaknesses are analyzed. The structured airspace designs are categorized into three models: Air-Matrix, Air-Network, and Air-Tube, and analyzed according to their sub-structures and temporal allocation methods. In addition, a quantitative analysis is conducted by re-categorizing the structured airspace and operation methods and building their combinations.https://www.mdpi.com/2226-4310/10/9/737UAS traffic managementairspace designairspace structureUAV
spellingShingle Ui-Jeong Lee
Sang-Jun Ahn
Dong-Young Choi
Sang-Min Chin
Dae-Sung Jang
Airspace Designs and Operations for UAS Traffic Management at Low Altitude
Aerospace
UAS traffic management
airspace design
airspace structure
UAV
title Airspace Designs and Operations for UAS Traffic Management at Low Altitude
title_full Airspace Designs and Operations for UAS Traffic Management at Low Altitude
title_fullStr Airspace Designs and Operations for UAS Traffic Management at Low Altitude
title_full_unstemmed Airspace Designs and Operations for UAS Traffic Management at Low Altitude
title_short Airspace Designs and Operations for UAS Traffic Management at Low Altitude
title_sort airspace designs and operations for uas traffic management at low altitude
topic UAS traffic management
airspace design
airspace structure
UAV
url https://www.mdpi.com/2226-4310/10/9/737
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