Conference Publications
| [190303] |
| Title: A Modular Urban Air Mobility Simulation Toolchain with Dynamic Agent Interaction. |
| Written by: Berling, J. and Hastedt, P. and Wanniarachchi, S. T. and Vieregg, A. and Gertz, C. and Turau, V. and Werner, H. and Gollnick, V. |
| in: <em>71. Deutscher Luft- und Raumfahrtkongress, DLRK 2022: DLRK 2022</em>. (2023). |
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| Editor: In {Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.} (Eds.) |
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| DOI: 10.25967/570247 |
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Abstract: 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.
| [190303] |
| Title: A Modular Urban Air Mobility Simulation Toolchain with Dynamic Agent Interaction. |
| Written by: Berling, J. and Hastedt, P. and Wanniarachchi, S. T. and Vieregg, A. and Gertz, C. and Turau, V. and Werner, H. and Gollnick, V. |
| in: <em>71. Deutscher Luft- und Raumfahrtkongress, DLRK 2022: DLRK 2022</em>. (2023). |
| Volume: Number: |
| on pages: |
| Chapter: |
| Editor: In {Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.} (Eds.) |
| Publisher: |
| Series: |
| Address: |
| Edition: |
| ISBN: |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.25967/570247 |
| URL: |
| ARXIVID: |
| PMID: |
Note:
Abstract: 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.