A simulation-based study on the impact of tracking performance on UTM flight safety
Benefiting from the scientific achievements in recent years, autonomous unmanned aircraft systems (UAS) are rapidly maturing for use in various missions. The attempt to deploy UAS as an extension of the transportation system draws growing attention. One of the key challenges of deploying UAS traffic...
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sg-ntu-dr.10356-1555832022-05-21T20:10:21Z A simulation-based study on the impact of tracking performance on UTM flight safety Dai, Wei Quek, Zhi Hao Low, Kin Huat School of Mechanical and Aerospace Engineering 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS) Air Traffic Management Research Institute Engineering::Aeronautical engineering Unmanned Aircraft Systems Traffic Management (UTM) Drones Air Traffic Management (ATM) Flight Safety Agent-Based Modeling and Simulation Tracking Performance Monte Carlo Simulation Benefiting from the scientific achievements in recent years, autonomous unmanned aircraft systems (UAS) are rapidly maturing for use in various missions. The attempt to deploy UAS as an extension of the transportation system draws growing attention. One of the key challenges of deploying UAS traffic is to guarantee the safety of UAS flights, which becomes a focus of related research. The tracking system provides the location of airborne flights to support various UAS traffic management (UTM) technologies. Therefore the standardization of tracking system performance is crucial. In this study, a simulation-based study is carried out to analyze the impact of tracking performance on the safety of UTM flights. The indicators of the tracking system are reviewed and summarized. Flight safety is formulated as the probability of an accident, which leads to a design of a pair-wise aircraft encounter scenario. A UTM simulator is established to enable aircraft trajectories generation. Fast-time Monte Carlo simulations are performed with operational uncertainties implemented, which estimates the probability of safety violations. The results of sensitivity analysis on tracking performance indicators show that the sizing of the safety protection boundary affects the performance of the tracking system. In addition, a larger latency of tracking leads to an increase in the lag-time between violation and detection, which potentially affects successful deconfliction. 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. The support of the SGUnited Traineeships Programme (CP0003060) to the second author is appreciated. 2022-05-18T01:36:54Z 2022-05-18T01:36:54Z 2022 Conference Paper Dai, W., Quek, Z. H. & Low, K. H. (2022). A simulation-based study on the impact of tracking performance on UTM flight safety. 2022 Integrated Communication, Navigation and Surveillance Conference (ICNS). https://dx.doi.org/10.1109/ICNS54818.2022.9771485 978-1-6654-8419-0 2155-4951 https://hdl.handle.net/10356/155583 10.1109/ICNS54818.2022.9771485 en CP0003060 © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICNS54818.2022.9771485. application/pdf |
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Engineering::Aeronautical engineering Unmanned Aircraft Systems Traffic Management (UTM) Drones Air Traffic Management (ATM) Flight Safety Agent-Based Modeling and Simulation Tracking Performance Monte Carlo Simulation |
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Engineering::Aeronautical engineering Unmanned Aircraft Systems Traffic Management (UTM) Drones Air Traffic Management (ATM) Flight Safety Agent-Based Modeling and Simulation Tracking Performance Monte Carlo Simulation Dai, Wei Quek, Zhi Hao Low, Kin Huat A simulation-based study on the impact of tracking performance on UTM flight safety |
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Benefiting from the scientific achievements in recent years, autonomous unmanned aircraft systems (UAS) are rapidly maturing for use in various missions. The attempt to deploy UAS as an extension of the transportation system draws growing attention. One of the key challenges of deploying UAS traffic is to guarantee the safety of UAS flights, which becomes a focus of related research. The tracking system provides the location of airborne flights to support various UAS traffic management (UTM) technologies. Therefore the standardization of tracking system performance is crucial. In this study, a simulation-based study is carried out to analyze the impact of tracking performance on the safety of UTM flights. The indicators of the tracking system are reviewed and summarized. Flight safety is formulated as the probability of an accident, which leads to a design of a pair-wise aircraft encounter scenario. A UTM simulator is established to enable aircraft trajectories generation. Fast-time Monte Carlo simulations are performed with operational uncertainties implemented, which estimates the probability of safety violations. The results of sensitivity analysis on tracking performance indicators show that the sizing of the safety protection boundary affects the performance of the tracking system. In addition, a larger latency of tracking leads to an increase in the lag-time between violation and detection, which potentially affects successful deconfliction. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Dai, Wei Quek, Zhi Hao Low, Kin Huat |
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Conference or Workshop Item |
author |
Dai, Wei Quek, Zhi Hao Low, Kin Huat |
author_sort |
Dai, Wei |
title |
A simulation-based study on the impact of tracking performance on UTM flight safety |
title_short |
A simulation-based study on the impact of tracking performance on UTM flight safety |
title_full |
A simulation-based study on the impact of tracking performance on UTM flight safety |
title_fullStr |
A simulation-based study on the impact of tracking performance on UTM flight safety |
title_full_unstemmed |
A simulation-based study on the impact of tracking performance on UTM flight safety |
title_sort |
simulation-based study on the impact of tracking performance on utm flight safety |
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2022 |
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https://hdl.handle.net/10356/155583 |
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1734310209815314432 |