Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147692
Title: A traffic method for unmanned aircraft systems on a virtual closed circuit
Authors: Ky, Gregoire Arthur
Alam, Sameer
Duong, Vu Nguyen
Keywords: Engineering::Aeronautical engineering::Air navigation
Issue Date: 2020
Source: Ky, G. A., Alam, S. & Duong, V. N. (2020). A traffic method for unmanned aircraft systems on a virtual closed circuit. 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT). https://dx.doi.org/10.1109/AIDA-AT48540.2020.9049166
Conference: 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT)
Abstract: This paper introduces a new traffic method for unmanned aircraft systems traffic management, in terminal maneuver space, called the Carousel method. It revolves around the circulation of virtual blocks alongside a closed circuit. This paper emphasizes on the versatility of this method and showcases a simulation of one possible application to an operational scenario, as well as discussing further enhancements for the future of the method. This paper demonstrates the effectiveness of the geometric flexibility of the Carousel method. It first proves the entanglement between all its geometrical considerations, namely the separation length, length of the virtual blocks and maximal number of blocks on the circuit, as well as proving its geometrical flexibility through a series of simulations. Then, it successfully applies the method to a typical arrival scenario for unmanned aircraft systems, while taking into account randomized parameters, such as remaining battery and landing time, applied to every vehicle on the circuit.
URI: https://hdl.handle.net/10356/147692
ISBN: 978-1-7281-5380-3
DOI: 10.1109/AIDA-AT48540.2020.9049166
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Air Traffic Management Research Institute 
Rights: © 2020 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/AIDA-AT48540.2020.9049166
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers

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