J. Berling, P. Hastedt, S.T. Wanniarachchi, A. Vieregg, C. Gertz, V. Turau, H. Werner, V. Gollnick

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.

Deutscher Luft- und Raumfahrtkongress 2022, Dresden

Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2023

Conference Paper

englisch

21,0 x 29,7 cm, 10 Seiten

urn:nbn:de:101:1-2023021015033849605091

10.25967/570247

Urban Air Mobility, Multi-Agent Simulation, U-Space, Deconfliction, Demand Modeling, V2X-Communication

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Berling, J.; Hastedt, P.; et al. (2023): A Modular Urban Air Mobility Simulation Toolchain with Dynamic Agent Interaction. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/570247. urn:nbn:de:101:1-2023021015033849605091.

10.02.2023