Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling
With the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for unmanned aerial vehicles’ needs. This paper, taking Zigong General Aviation Airport in Sichuan as a case study, explores the lateral...
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Format: | Article |
Language: | English |
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MDPI AG
2024-01-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/24/2/553 |
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author | Chao Zhou Chi Huang Longyang Huang Chuanjiang Xie Xingyu Zhu Tao Huang |
author_facet | Chao Zhou Chi Huang Longyang Huang Chuanjiang Xie Xingyu Zhu Tao Huang |
author_sort | Chao Zhou |
collection | DOAJ |
description | With the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for unmanned aerial vehicles’ needs. This paper, taking Zigong General Aviation Airport in Sichuan as a case study, explores the lateral safety spacing in a mixed operation mode of unmanned aerial vehicles and manned aircraft. Currently, there are no standardized regulations for the safe spacing of the fusion operation of unmanned and manned aircraft. Theoretical research is essential to provide a reference for actual operations. It introduces the UM-Event (unmanned and manned aircraft-event) collision risk model, an adaptation of the Event collision risk model, considering factors like communication, navigation, surveillance performance, human factors, collision avoidance equipment performance, and meteorology. Safety spacing was determined via simulation experiments and actual data analysis, adhering to the target safety level (TSL). Findings indicate that surveillance performance has a minor impact on safety spacing, while communication and navigation significantly influence it. The safety spacing, influenced solely by CNS (communication performance, navigation performance, surveillance performance) and combined factors, increased from 4.42 to 4.47 nautical miles. These results offer theoretical guidance for unmanned aerial vehicle safety in non-segregated airspace. |
first_indexed | 2024-03-08T09:46:50Z |
format | Article |
id | doaj.art-b1f0cca752d54551a3c13c889a958d7b |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-08T09:46:50Z |
publishDate | 2024-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-b1f0cca752d54551a3c13c889a958d7b2024-01-29T14:16:18ZengMDPI AGSensors1424-82202024-01-0124255310.3390/s24020553Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event ModelingChao Zhou0Chi Huang1Longyang Huang2Chuanjiang Xie3Xingyu Zhu4Tao Huang5Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan 618307, ChinaCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, ChinaCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, ChinaInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan 618307, ChinaCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, ChinaInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan 618307, ChinaWith the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for unmanned aerial vehicles’ needs. This paper, taking Zigong General Aviation Airport in Sichuan as a case study, explores the lateral safety spacing in a mixed operation mode of unmanned aerial vehicles and manned aircraft. Currently, there are no standardized regulations for the safe spacing of the fusion operation of unmanned and manned aircraft. Theoretical research is essential to provide a reference for actual operations. It introduces the UM-Event (unmanned and manned aircraft-event) collision risk model, an adaptation of the Event collision risk model, considering factors like communication, navigation, surveillance performance, human factors, collision avoidance equipment performance, and meteorology. Safety spacing was determined via simulation experiments and actual data analysis, adhering to the target safety level (TSL). Findings indicate that surveillance performance has a minor impact on safety spacing, while communication and navigation significantly influence it. The safety spacing, influenced solely by CNS (communication performance, navigation performance, surveillance performance) and combined factors, increased from 4.42 to 4.47 nautical miles. These results offer theoretical guidance for unmanned aerial vehicle safety in non-segregated airspace.https://www.mdpi.com/1424-8220/24/2/553manned and unmanned aircraftcollision risksafety space |
spellingShingle | Chao Zhou Chi Huang Longyang Huang Chuanjiang Xie Xingyu Zhu Tao Huang Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling Sensors manned and unmanned aircraft collision risk safety space |
title | Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling |
title_full | Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling |
title_fullStr | Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling |
title_full_unstemmed | Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling |
title_short | Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling |
title_sort | research on lateral safety spacing for fusion operation based on unmanned and manned aircraft event modeling |
topic | manned and unmanned aircraft collision risk safety space |
url | https://www.mdpi.com/1424-8220/24/2/553 |
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