Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation
Tracking systems are a core component of future UAS Traffic Management (UTM) systems. This study aims at providing technical fundamentals for supporting the robust standardization of UTM tracking systems. To evaluate the impact of tracking system performances on the effectiveness of centralized conf...
| Үндсэн зохиолчид: | , , |
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| Бусад зохиолчид: | |
| Формат: | Conference Paper |
| Хэл сонгох: | English |
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2023
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| Нөхцлүүд: | |
| Онлайн хандалт: | https://hdl.handle.net/10356/164828 |
| _version_ | 1826116125792927744 |
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| author | Quek, Zhi Hao Dai, Wei Low, Kin Huat |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Quek, Zhi Hao Dai, Wei Low, Kin Huat |
| author_sort | Quek, Zhi Hao |
| collection | NTU |
| description | Tracking systems are a core component of future UAS Traffic Management (UTM) systems. This study aims at providing technical fundamentals for supporting the robust standardization of UTM tracking systems. To evaluate the impact of tracking system performances on the effectiveness of centralized conflict detection, we propose a simulation-based quantitative method. Monte Carlo simulations were used to acquire data for tracking systems behaviors under various operational uncertainties for a pair-wise flight encounter scenario. Sensitivity analysis of safety performance in managing Well-Clear Violations (WCVs) were performed with respect to performance parameters (transmission availability, UAS-side and ground side position update rates and transmission latency) for a cooperative tracking system. It was found that extrapolation techniques help to mitigate long intervals between successive UA position updates. UAS position and velocity update rates over 1 Hz are recommended. |
| first_indexed | 2024-10-01T04:06:16Z |
| format | Conference Paper |
| id | ntu-10356/164828 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:06:16Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1648282023-02-25T15:30:22Z Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation Quek, Zhi Hao Dai, Wei Low, Kin Huat School of Mechanical and Aerospace Engineering AIAA SciTech 2023 Forum Air Traffic Management Research Institute Engineering::Aeronautical engineering::Aviation Tracking Monte Carlo Simulation Tracking systems are a core component of future UAS Traffic Management (UTM) systems. This study aims at providing technical fundamentals for supporting the robust standardization of UTM tracking systems. To evaluate the impact of tracking system performances on the effectiveness of centralized conflict detection, we propose a simulation-based quantitative method. Monte Carlo simulations were used to acquire data for tracking systems behaviors under various operational uncertainties for a pair-wise flight encounter scenario. Sensitivity analysis of safety performance in managing Well-Clear Violations (WCVs) were performed with respect to performance parameters (transmission availability, UAS-side and ground side position update rates and transmission latency) for a cooperative tracking system. It was found that extrapolation techniques help to mitigate long intervals between successive UA position updates. UAS position and velocity update rates over 1 Hz are recommended. Civil Aviation Authority of Singapore (CAAS) National Research Foundation (NRF) Submitted/Accepted version This research is supported by the National Research Foundation, Singapore, and the Civil Aviation Authority of Singapore, under the Aviation Transformation Programme. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of National Research Foundation, Singapore and the Civil Aviation Authority of Singapore. 2023-02-22T02:37:06Z 2023-02-22T02:37:06Z 2023 Conference Paper Quek, Z. H., Dai, W. & Low, K. H. (2023). Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation. AIAA SciTech 2023 Forum. https://dx.doi.org/10.2514/6.2023-0607 978-1-62410-699-6 https://hdl.handle.net/10356/164828 10.2514/6.2023-0607 en © 2023 Nanyang Technological University. Published by the American Institute of Aeronautics and Astronautics, Inc, with permission. All rights reserved. This paper was published in Proceedings of AIAA SCITECH 2023 Forum and is made available with permission of Nanyang Technological University. application/pdf |
| spellingShingle | Engineering::Aeronautical engineering::Aviation Tracking Monte Carlo Simulation Quek, Zhi Hao Dai, Wei Low, Kin Huat Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation |
| title | Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation |
| title_full | Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation |
| title_fullStr | Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation |
| title_full_unstemmed | Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation |
| title_short | Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation |
| title_sort | analysing utm tracking service performance in the detection of unmitigated uas conflicts using monte carlo simulation |
| topic | Engineering::Aeronautical engineering::Aviation Tracking Monte Carlo Simulation |
| url | https://hdl.handle.net/10356/164828 |
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