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Open AccessConcept Paper

A Collaborative Approach for an Integrated Modeling of Urban Air Transportation Systems

1
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Lufttransportsysteme, 21079 Hamburg, Germany
2
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Systemarchitekturen in der Luftfahrt, 21129 Hamburg, Germany
3
Institut für Lufttransportsysteme, Technische Universität Hamburg (TUHH), 21079 Hamburg, Germany
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Aerospace 2020, 7(5), 50; https://doi.org/10.3390/aerospace7050050
Received: 17 March 2020 / Revised: 15 April 2020 / Accepted: 20 April 2020 / Published: 28 April 2020
(This article belongs to the Collection Air Transportation—Operations and Management)
The current push in automation, communication, and electrical energy storage technologies has the potential to lift urban mobility into the sky. As several urban air mobility (UAM) concepts are conceivable, all relevant physical effects as well as mutual interrelations of the UAM system have to be addressed and evaluated at a sufficient level of fidelity before implementation. Therefore, a collaborative system of systems modeling approach for UAM is presented. To quickly identify physical effects and cross-disciplinary influences of UAM, a pool of low-fidelity physical analysis components is developed and integrated into the Remote Component Environment (RCE) workflow engine. This includes, i. a., the disciplines of demand forecast, trajectory, vertiport, and cost modeling as well as air traffic flow and capacity management. The definition and clarification of technical interfaces require intensive cooperation between specialists with different areas of expertise. To reduce this communication effort, the Common Parametric Aircraft Configuration Schema (CPACS) is adapted and used as central data exchange format. The UAM system module is initially applied for a 24-hour simulation of three generic networks in Hamburg City. After understanding the basic system-level behavior, higher level analysis components and feedback loops must be integrated in the UAM system module for evaluation and optimization of explicit operating concepts. View Full-Text
Keywords: urban air mobility; collaborative design; system of systems; demand modeling; vertiport modeling; route optimization; flight scheduling; trajectory simulation; conflict detection; cost and revenue modeling urban air mobility; collaborative design; system of systems; demand modeling; vertiport modeling; route optimization; flight scheduling; trajectory simulation; conflict detection; cost and revenue modeling
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MDPI and ACS Style

Niklaß, M.; Dzikus, N.; Swaid, M.; Berling, J.; Lührs, B.; Lau, A.; Terekhov, I.; Gollnick, V. A Collaborative Approach for an Integrated Modeling of Urban Air Transportation Systems. Aerospace 2020, 7, 50.

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