Although well-established air traffic control methods exist for manned aircraft systems (MAS) and frameworks are being created for Unmanned Aircraft Systems (UAS), the issue of combined MAS-UAS coordination has not been adequately addressed. We propose a lane-based multi-modal traffic management system, called Multi-Modal Air (MM-AIR), which provides efficient and effective strategic deconfliction for MAS and UAS flying in the same airspace, as well as the capability to schedule safe trajectories for other airborne objects (e.g., artillery rounds). The major contributions are: 1. The efficient scheduling of strategically deconflicted flights of platforms with different speeds and air space requirements, and 2. The capability to schedule the safe passage of other trajectories through the lane-based flights.


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    Titel :

    Multi-modal Air Trajectory Traffic Management


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Lee, Soon-Geul (Herausgeber:in) / An, Jinung (Herausgeber:in) / Chong, Nak Young (Herausgeber:in) / Strand, Marcus (Herausgeber:in) / Kim, Joo H. (Herausgeber:in) / Henderson, Thomas C. (Autor:in) / Marston, Vista (Autor:in) / Sacharny, David (Autor:in)

    Kongress:

    International Conference on Intelligent Autonomous Systems ; 2023 ; Suwon, Korea (Republic of) July 04, 2023 - July 07, 2023



    Erscheinungsdatum :

    21.04.2024


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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