Berling, JanJanBerlingHastedt, PhilippPhilippHastedtWanniarachchi, Shashini ThamarasieShashini ThamarasieWanniarachchiVieregg, AndreasAndreasViereggGertz, CarstenCarstenGertzTurau, VolkerVolkerTurauWerner, HerbertHerbertWernerGollnick, VolkerVolkerGollnick2023-01-242023-01-242022-0971. Deutscher Luft- und Raumfahrtkongress (DLRK 2022)http://hdl.handle.net/11420/14652We present a modular simulation toolchain for urban air mobility (UAM), used to investigate interdisciplinary challenges in research fields like transportation planning, air-traffic research, control systems and telematics. The framework can be enhanced to evaluate the connection between travel times and demand, or the inter-dependence of U-Space 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 pre-departure scheduling. The 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.enIngenieurwissenschaftenConference Paper10.25967/570247Other