This paper presents a modular simulation toolchain for urban air mobility (UAM), used to investigate interdisciplinary challenges in research fields like transportation planning, air-traffic management, control systems and telematics. The simulation framework can be enhanced to evaluate the connection between travel times and demand, or the interdependence of urban airspace regulations and self-separation performance. In an example scenario, UAM demand is based on the share of passengers using existing modes in a transportation model. Missions for urban air routes are computed on a layered grid, and conflicts are resolved in a predeparture scheduling. A multi-agent simulation framework based on OMNeT++ integrates complex dynamics, and guidance, navigation and control algorithms, as well as different communication protocols like 5G. We evaluate a workflow for the city of Hamburg with several thousand flights, based on transportation-related key performance indicators.


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    Titel :

    A Modular Urban Air Mobility Simulation Toolchain with Dynamic Agent Interaction


    Beteiligte:
    Berling, J. (Autor:in) / Hastedt, P. (Autor:in) / Wanniarachchi, S.T. (Autor:in) / Vieregg, A. (Autor:in) / Gertz, C. (Autor:in) / Turau, V. (Autor:in) / Werner, H. (Autor:in) / Gollnick, V. (Autor:in)

    Erscheinungsdatum :

    2023


    Format / Umfang :

    10 pages



    Medientyp :

    Sonstige


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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