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Aerospace
Special Issues
Integrated Airborne Urban Mobility: A Multidisciplinary View
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Integrated Airborne Urban Mobility: A Multidisciplinary View

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Air Traffic and Transportation".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1403

Special Issue Editors

Prof. Dr. Volker Gollnick

E-Mail Website
Guest Editor
Institut für Luftransportsysteme an der TUHH, Blohmstr. 20, 21079 Hamburg, Germany
Interests: aerospace; rotorcraft; military air systems; aviation; mission analysis; systems design; air transportation systems; urban air mobility; U-space; aircraft design; climate impact of aviation; sustainability; mission efficiency
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Michael Schultz

E-Mail Website
Guest Editor
Institute of Flight Systems, Bundeswehr University Munich, 85577 Neubiberg, Germany
Interests: air transportation; data-driven and model-based environments; predictive analysis; integrated airspace and airport management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Urban Air Mobility is a new air transportation concept, which may contribute to achieving more sustainable airborne travel. The project “iLUM” was funded by the Hamburgerian Ministry of Science, Research, Equality and Districts (BWFGB) to develop a holistic methodology for the feasibility and value analysis of urban air transportation.

The project team, representing public law, societal science, aerospace science, transportation science, city planning, and automation and communication systems academics, collaborated for 3 years.

This Special Issue in Aerospace documents the main achievements in different fields in separate papers. In addition, a summarizing overview of model-based simulation and urban air mobility feasibility in Hamburg is given. 

As the spokesman of the project, I am delighted that the project team has the opportunity to present all their multidisciplinary achievements in a comprehensive format. It is fairly rare that legal and societal research results on Urban Air Mobility are presented together with technical and operational issues.

Prof. Dr. Volker Gollnick
Prof. Dr. Michael Schultz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

26 pages, 2861 KiB  
Article
Real-Time On-the-Fly Motion Planning for Urban Air Mobility via Updating Tree Data of Sampling-Based Algorithms Using Neural Network Inference
by Junlin Lou, Burak Yuksek, Gokhan Inalhan and Antonios Tsourdos
Aerospace 2024, 11(1), 99; https://doi.org/10.3390/aerospace11010099 - 22 Jan 2024
Viewed by 919
Abstract
In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in the urban [...] Read more.
In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in the urban airspace. We have developed two separate approaches for this problem because designing an algorithm individually for each objective yields better performance. The first approach that we propose is a decoupled method that includes designing a policy network based on a recurrent neural network for a reinforcement learning algorithm, and then combining an online trajectory generation algorithm to obtain the minimal snap trajectory for the vehicle. Additionally, in the second approach, we propose a coupled method using a generative adversarial imitation learning algorithm for training a recurrent-neural-network-based policy network and generating the time-optimized trajectory. The simulation results show that our approaches have a short computation time when compared to other algorithms with similar performance while guaranteeing sufficient exploration of the environment. In urban air mobility operations, our approaches are able to provide real-time on-the-fly motion re-planning for vehicles, and the re-planned trajectories maintain continuity for the executed trajectory. To the best of our knowledge, we propose one of the first approaches enabling one to perform an on-the-fly update of the final landing position and to optimize the path and trajectory in real-time while keeping explorations in the environment. Full article
(This article belongs to the Special Issue Integrated Airborne Urban Mobility: A Multidisciplinary View)
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