Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164800
Title: Same-track UAS separation requirement evaluation with Monte-Carlo based collision risk modeling
Authors: Wang, John Chung Hung
Deng, Chao
Low, Kin Huat
Keywords: Engineering::Aeronautical engineering::Air navigation
Issue Date: 2023
Source: Wang, J. C. H., Deng, C. & Low, K. H. (2023). Same-track UAS separation requirement evaluation with Monte-Carlo based collision risk modeling. AIAA SCITECH 2023 Forum. https://dx.doi.org/10.2514/6.2023-1679
Conference: AIAA SCITECH 2023 Forum
Abstract: With the increasing demand for UAS operations, the traffic density handled by the UTM system is expected to increase markedly over the next few years. This increase in traffic density, especially near transport hub or population centers, and the recent increase in UAS flight time could mean simple strategic separation assurance by spacing out approved flight time (temporal segregation) would longer be feasible. To determine the separation needed to prevent mid-air collision for UAS, specifically multirotor, traveling along the same track, a modified Reich collision risk model with multirotor specific flight dynamics and Monte-Carlo method was used. Preliminary analysis utilized open-field navigation performance to create a puck-shaped collision volume for the leading UAS and the measured flight technical error to create the outer-bound for deviation from assigned track for the follower UAS; a look-ahead time of 20 s was used in this simulation. Additional collision risk modeling with different encounter geometries and navigational performance are planned. The simulation results could contribute to the establishment of general separation minima for UTM or could lead to a model for determining separation distance on a pair-wise bases while accounting for communication, navigation, and surveillance performance that could be offered by the UTM service provider for the area of operation
URI: https://hdl.handle.net/10356/164800
ISBN: 978-1-62410-699-6
DOI: 10.2514/6.2023-1679
Research Centres: Air Traffic Management Research Institute 
Rights: © 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers

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