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Design of Digital Air Traffic Management System for Multi-operator Unmanned Aerial Vehicle Based on Digital Twin

Published: 14 March 2024 Publication History

Abstract

With the advancement of UAV technology, it is imperative to deliberate and practice the method of UAV operation management in greater detail. This paper presents a design scheme for an urban air traffic management data processing system based on a digital twin, which can solve the problem of multi-operator system digital management for conflict warning management. The system is composed of a digital core module, a digital control module, and a UAV twin flight module. The modules are linked to each other, and utilizing techniques like flight planning, comprehensive warning, and space processing, the twin-algorithm data analysis framework is constructed, and conflict predictions and predictions are made. The process of confirming the system described in this paper will be followed by further refinements and, with the assistance of the Bureau, the collection of information about the sector's activities to enhance the system.

References

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ICAO, UTM - A Common Framework with Core Boundaries for Global Harmonization UTM (Version2.0)
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FAA. Integration of Civil Unmanned Aircraft Systems (UAS) into the National Airspace System (NAS) Roadmap Third Edition. 2020.
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Parimal Kopardekar. Unmanned Aircraft System Traffic Management (UTM) Concept of Operation. 16th AIAA Aviation Technology, Integration, and Operations Conference, 2016.
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SESAR Joint Undertaking. European ATM Master Plan: Roadmap for the safe integration of drones into all classes of airspace.
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SESAR Joint Undertaking. Digital European Sky Blueprint. 2020.
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Jenie, Y. I., Van Kampen, E. J., Ellerbroek, J., and Hoekstra, J. M. Taxonomy of Conflict Detection and Resolution Approaches for Unmanned Aerial Vehicle in an Integrated Airspace. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(3): 558-567.
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International Data Corporation. Technology giants compete for new tracks. CAI- JING, China, 2019, Vol. 28, 50-51.
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Yang X.X., Wei P. Autonomous Free Flight Operations in Urban Air Mobility With Computational Guidance and Collision Avoidance. IEEE Transactions on Intelli- gent Transportation Systems, 2021, 22(9): 5962-5975.
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Lappas V, Zoumponos G, Kostopoulos V, EuroDRONE, a European Un- manned Traffic Management Testbed for U-Space. Drones, 2022, 6(2): 53.

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        CSAI '23: Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence
        December 2023
        563 pages
        ISBN:9798400708688
        DOI:10.1145/3638584
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 14 March 2024

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        Author Tags

        1. UAV
        2. digital twin
        3. multi-operator
        4. traffic management

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