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 a...

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Main Authors: Malte Niklaß, Niclas Dzikus, Majed Swaid, Jan Berling, Benjamin Lührs, Alexander Lau, Ivan Terekhov, Volker Gollnick
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/7/5/50
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spelling doaj-80da497901e841cab4d51c70b3eee24d2020-11-25T02:19:05ZengMDPI AGAerospace2226-43102020-04-017505010.3390/aerospace7050050A Collaborative Approach for an Integrated Modeling of Urban Air Transportation SystemsMalte Niklaß0Niclas Dzikus1Majed Swaid2Jan Berling3Benjamin Lührs4Alexander Lau5Ivan Terekhov6Volker Gollnick7Deutsches Zentrum für Luft- und Raumfahrt (DLR), Lufttransportsysteme, 21079 Hamburg, GermanyDeutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Systemarchitekturen in der Luftfahrt, 21129 Hamburg, GermanyDeutsches Zentrum für Luft- und Raumfahrt (DLR), Lufttransportsysteme, 21079 Hamburg, GermanyInstitut für Lufttransportsysteme, Technische Universität Hamburg (TUHH), 21079 HamburgInstitut für Lufttransportsysteme, Technische Universität Hamburg (TUHH), 21079 HamburgDeutsches Zentrum für Luft- und Raumfahrt (DLR), Lufttransportsysteme, 21079 Hamburg, GermanyDeutsches Zentrum für Luft- und Raumfahrt (DLR), Lufttransportsysteme, 21079 Hamburg, GermanyDeutsches Zentrum für Luft- und Raumfahrt (DLR), Lufttransportsysteme, 21079 Hamburg, GermanyThe 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.https://www.mdpi.com/2226-4310/7/5/50urban air mobilitycollaborative designsystem of systemsdemand modelingvertiport modelingroute optimization
collection DOAJ
language English
format Article
sources DOAJ
author Malte Niklaß
Niclas Dzikus
Majed Swaid
Jan Berling
Benjamin Lührs
Alexander Lau
Ivan Terekhov
Volker Gollnick
spellingShingle Malte Niklaß
Niclas Dzikus
Majed Swaid
Jan Berling
Benjamin Lührs
Alexander Lau
Ivan Terekhov
Volker Gollnick
A Collaborative Approach for an Integrated Modeling of Urban Air Transportation Systems
Aerospace
urban air mobility
collaborative design
system of systems
demand modeling
vertiport modeling
route optimization
author_facet Malte Niklaß
Niclas Dzikus
Majed Swaid
Jan Berling
Benjamin Lührs
Alexander Lau
Ivan Terekhov
Volker Gollnick
author_sort Malte Niklaß
title A Collaborative Approach for an Integrated Modeling of Urban Air Transportation Systems
title_short 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
title_fullStr A Collaborative Approach for an Integrated Modeling of Urban Air Transportation Systems
title_full_unstemmed 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
publisher MDPI AG
series Aerospace
issn 2226-4310
publishDate 2020-04-01
description 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.
topic urban air mobility
collaborative design
system of systems
demand modeling
vertiport modeling
route optimization
url https://www.mdpi.com/2226-4310/7/5/50
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