Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144331
Title: Three-dimensional (3D) Monte-Carlo modeling for UAS collision risk management in restricted airport airspace
Authors: Wang, John Chung-Hung
Tan, Shi Kun
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering::Aviation
Issue Date: 2020
Source: Wang, J. C.-H., Tan, S. K., & Low, K. H. (2020). Three-dimensional (3D) Monte-Carlo modeling for UAS collision risk management in restricted airport airspace. Aerospace Science and Technology, 105, 105964-. doi:10.1016/j.ast.2020.105964
Journal: Aerospace Science and Technology 
Abstract: The increased availability of off-the-shelf recreational unmanned aerial systems (UAS) on the market has greatly increased the likelihood of UAS intrusion, regardless of intent, into the controlled airspace. Such intrusion is especially a concern for airports in Singapore, where the consequence for a UAS collision is high and the 5 km restricted airport airspace covers nearly half of its overland airspace. The 3D Monte-Carlo UAS positional distribution model, based on flight dynamics of the UAS, was developed to help assess the risk posed by the UAS to aircraft operating inside the aerodrome. Simulations were carried out to establish the Alert Zone boundaries to quickly determine the collision risk posed by non-cooperative UAS sightings for various airport operation scenarios. The 3D model was also used to carry out simulations that could help determine the bu er airspace needed for cooperative UAS operating inside the aerodrome.
URI: https://hdl.handle.net/10356/144331
ISSN: 1270-9638
DOI: 10.1016/j.ast.2020.105964
Rights: © 2020 Elsevier Masson SAS. All rights reserved. This paper was published in Aerospace Science and Technology and is made available with permission of Elsevier Masson SAS.
Fulltext Permission: embargo_20221231
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Journal Articles

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