Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes
This report aims to study the efficiency of current No-Fly Zones (NFZs) for Unmanned Aerial Vehicles (UAVs) around aerodromes, in terms of the suitability of their size and geometry. It is proposed that the NFZ geometry around aerodromes should be similar to the aerodrome’s runway(s), due to t...
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sg-ntu-dr.10356-1579442023-03-04T20:16:36Z Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes Tan, Qian Yi Low Kin Huat School of Mechanical and Aerospace Engineering MKHLOW@ntu.edu.sg Engineering::Mechanical engineering This report aims to study the efficiency of current No-Fly Zones (NFZs) for Unmanned Aerial Vehicles (UAVs) around aerodromes, in terms of the suitability of their size and geometry. It is proposed that the NFZ geometry around aerodromes should be similar to the aerodrome’s runway(s), due to the expectation that low-flying aircraft occupying the same elevation as a commercial or civilian UAV will be either taking off or landing on a runway, thus a higher risk of UAV-manned aircraft collision exists near the runways. This is investigated by assessing the expected level of safety for UAV flights around Singapore Changi Airport though a data-driven approach. Manned aircraft flight data is obtained from the OpenSky Network (OSN). By comparing the flight density at various points within the current NFZ around WSSS, areas with dense low-flying manned aircraft traffic and a high expected collision frequency will be classified as a critical area, where UAVs may encounter manned aircraft. Around the critical area, an additional buffer area is included to provide time to execute mitigation measures to prevent a UAV from reaching the critical area. Together, the critical area and buffer area make up a Keep-Out Zone, or the proposed NFZ. It was found that based on collision risk alone, the current NFZ around Changi Airport is not efficient in its use of space. It can be resized to be less wide but longer, and reshaped into a rectangular form. Bachelor of Engineering (Mechanical Engineering) 2022-05-25T02:45:55Z 2022-05-25T02:45:55Z 2022 Final Year Project (FYP) Tan, Q. Y. (2022). Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157944 https://hdl.handle.net/10356/157944 en C101 application/pdf Nanyang Technological University |
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Engineering::Mechanical engineering Tan, Qian Yi Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes |
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This report aims to study the efficiency of current No-Fly Zones (NFZs) for Unmanned Aerial
Vehicles (UAVs) around aerodromes, in terms of the suitability of their size and geometry. It
is proposed that the NFZ geometry around aerodromes should be similar to the aerodrome’s
runway(s), due to the expectation that low-flying aircraft occupying the same elevation as a
commercial or civilian UAV will be either taking off or landing on a runway, thus a higher
risk of UAV-manned aircraft collision exists near the runways. This is investigated by
assessing the expected level of safety for UAV flights around Singapore Changi Airport
though a data-driven approach. Manned aircraft flight data is obtained from the OpenSky
Network (OSN). By comparing the flight density at various points within the current NFZ
around WSSS, areas with dense low-flying manned aircraft traffic and a high expected
collision frequency will be classified as a critical area, where UAVs may encounter manned
aircraft. Around the critical area, an additional buffer area is included to provide time to
execute mitigation measures to prevent a UAV from reaching the critical area. Together, the
critical area and buffer area make up a Keep-Out Zone, or the proposed NFZ. It was found that
based on collision risk alone, the current NFZ around Changi Airport is not efficient in its use
of space. It can be resized to be less wide but longer, and reshaped into a rectangular form. |
author2 |
Low Kin Huat |
author_facet |
Low Kin Huat Tan, Qian Yi |
format |
Final Year Project |
author |
Tan, Qian Yi |
author_sort |
Tan, Qian Yi |
title |
Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes |
title_short |
Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes |
title_full |
Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes |
title_fullStr |
Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes |
title_full_unstemmed |
Data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes |
title_sort |
data-driven collision risk assessment to redefine no-fly zone boundaries around aerodromes |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/157944 |
_version_ |
1759855014360121344 |