Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155583
Title: A simulation-based study on the impact of tracking performance on UTM flight safety
Authors: Dai, Wei
Quek, Zhi Hao
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering
Issue Date: 2022
Source: 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
Project: CP0003060 
Abstract: 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.
URI: https://hdl.handle.net/10356/155583
ISBN: 978-1-6654-8419-0
ISSN: 2155-4951
DOI: 10.1109/ICNS54818.2022.9771485
Rights: © 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers
MAE Conference Papers

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