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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    Title :

    A Modular Urban Air Mobility Simulation Toolchain with Dynamic Agent Interaction


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

    Publication date :

    2023


    Size :

    10 pages



    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    English




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