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A Collaborative approach for an integrated modeling of urban air transportation systems
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Veröffentlicht in: | Aerospace Volume 7 (2020), issue 5, Artikel 50; insgesamt 34 Seiten |
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Personen und Körperschaften: | , , , , , , , , , |
Titel: | A Collaborative approach for an integrated modeling of urban air transportation systems/ Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov and Volker Gollnick |
Format: | E-Book-Kapitel |
Sprache: | Englisch |
veröffentlicht: |
28 April 2020
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Gesamtaufnahme: |
: Aerospace, Volume 7 (2020), issue 5, Artikel 50; insgesamt 34 Seiten
, volume:7 |
Schlagwörter: | |
Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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contents | 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. |
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spelling | Niklaß, Malte VerfasserIn (DE-588)1181218500 (DE-627)1662334036 aut, A Collaborative approach for an integrated modeling of urban air transportation systems Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov and Volker Gollnick, 28 April 2020, Illustrationen, Diagramme, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Sonstige Körperschaft: Technische Universität Hamburg, Sonstige Körperschaft: Institut für Lufttransportsysteme, DE-830 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2, 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., DE-830 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/, urban air mobility DSpace, collaborative design DSpace, system of systems DSpace, demand modeling DSpace, vertiport modeling DSpace, route optimization DSpace, flight scheduling DSpace, trajectory simulation DSpace, conflict detection DSpace, cost and revenue modeling DSpace, Dzikus, Niclas VerfasserIn (DE-588)1136589570 (DE-627)893149144 (DE-576)490668526 aut, Swaid, Majed VerfasserIn (DE-588)1209282607 (DE-627)1696929288 aut, Berling, Jan VerfasserIn (DE-588)1209283220 (DE-627)1696930073 aut, Lührs, Benjamin VerfasserIn (DE-588)1209283778 (DE-627)1696930839 aut, Lau, Alexander VerfasserIn (DE-588)1136590730 (DE-627)893151157 (DE-576)490670849 aut, Terekhov, Ivan VerfasserIn (DE-588)114161877X (DE-627)1000602915 (DE-576)494445165 aut, Gollnick, Volker 1964- VerfasserIn (DE-588)129040525 (DE-627)387890874 (DE-576)297462385 aut, Technische Universität Hamburg (DE-588)1112763473 (DE-627)866918418 (DE-576)476770564 oth, Institut für Lufttransportsysteme (DE-588)113826007X (DE-627)895590646 (DE-576)492453209 oth, Enthalten in Aerospace Basel : MDPI, 2014 Volume 7 (2020), issue 5, Artikel 50; insgesamt 34 Seiten Online-Ressource (DE-627)778375048 (DE-600)2756091-0 (DE-576)401032795 2226-4310 nnns, volume:7 year:2020 number:5, http://nbn-resolving.de/urn:nbn:de:gbv:830-882.089251 Resolving-System kostenfrei, https://doi.org/10.15480/882.2752 Resolving-System kostenfrei, http://hdl.handle.net/11420/5994 Resolving-System kostenfrei, https://doi.org/10.3390/aerospace7050050 Resolving-System, https://doi.org/10.3390/aerospace7050050 LFER, http://nbn-resolving.de/urn:nbn:de:gbv:830-882.089251 LFER, LFER 2020-06-06T22:51:03Z |
spellingShingle | Niklaß, Malte, Dzikus, Niclas, Swaid, Majed, Berling, Jan, Lührs, Benjamin, Lau, Alexander, Terekhov, Ivan, Gollnick, Volker, A Collaborative approach for an integrated modeling of urban air transportation systems, 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., urban air mobility, collaborative design, system of systems, demand modeling, vertiport modeling, route optimization, flight scheduling, trajectory simulation, conflict detection, cost and revenue modeling |
title | A Collaborative approach for an integrated modeling of urban air transportation systems |
title_auth | A Collaborative approach for an integrated modeling of urban air transportation systems |
title_full | A Collaborative approach for an integrated modeling of urban air transportation systems Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov and Volker Gollnick |
title_fullStr | A Collaborative approach for an integrated modeling of urban air transportation systems Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov and Volker Gollnick |
title_full_unstemmed | A Collaborative approach for an integrated modeling of urban air transportation systems Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov and Volker Gollnick |
title_in_hierarchy | A Collaborative approach for an integrated modeling of urban air transportation systems / Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov and Volker Gollnick, |
title_short | A Collaborative approach for an integrated modeling of urban air transportation systems |
title_sort | collaborative approach for an integrated modeling of urban air transportation systems |
topic | urban air mobility, collaborative design, system of systems, demand modeling, vertiport modeling, route optimization, flight scheduling, trajectory simulation, conflict detection, cost and revenue modeling |
topic_facet | urban air mobility, collaborative design, system of systems, demand modeling, vertiport modeling, route optimization, flight scheduling, trajectory simulation, conflict detection, cost and revenue modeling |
url | http://nbn-resolving.de/urn:nbn:de:gbv:830-882.089251, https://doi.org/10.15480/882.2752, http://hdl.handle.net/11420/5994, https://doi.org/10.3390/aerospace7050050 |
urn | urn:nbn:de:gbv:830-882.089251 |