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Aerospace
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Advanced Air Mobility (AAM)
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Advanced Air Mobility (AAM)

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

Deadline for manuscript submissions: 30 November 2026 | Viewed by 1120

Editors

Prof. Dr. Volker Gollnick

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Guest Editor
Institute of Air Transportation Systems, Hamburg University of Technology, 21073 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,

Over the past 10 years, urban and regional air mobility has developed. Many air vehicle concepts, operational and business model proposals and also safety topics, for example the European JARUS’s "SORA" concept, have spread over the world with various derivatives. Many dreams have been shattered, while others are still developing. This is a good point in time to resume the achievements and provide a condensed overall knowledge based on what we know now. This is what this Special Issue is about.

Therefore, we welcome contributions about achievements in vehicle concepts addressing single concepts or comparing various ones. Further, business models about UAM applications in various parts of the world shall be presented to demonstrate markets and limitations. Also, the operation of urban air mobility vehicles from the perspective of air traffic management shall be demonstrated. Urban air mobility infrastructure like veritport concepts and CNS infrastructures and its cost should be addressed. At last, the wide field of qualification and certification of vehicles and its operations is a major issue of this new form of mobility.

We aim for this collection of papers to provide the reader, today and in the future, a knowledge platform for progress.

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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.

Keywords

  • advanced air mobility
  • urban air mobility
  • regional air mobility

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Published Papers (2 papers)

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Research

25 pages, 16990 KB  
Article
A Multi-Objective Optimization Model for Collaborative UAV–Rider Meal Delivery Routing Using an Enhanced NSGA-II Algorithm
by Shichen Hu, Yuan Zheng, Jingqi Dai, Hui Jiang and Yiwu Feng
Aerospace 2026, 13(8), 673; https://doi.org/10.3390/aerospace13080673 - 28 Jul 2026
Viewed by 247
Abstract
Urban instant-delivery platforms increasingly require efficient, punctual, and low-carbon delivery services. Unmanned aerial vehicles (UAVs) can reduce dependence on congested ground traffic in meal delivery and further improve overall delivery efficiency through coordinated operations with ground riders at rendezvous points. However, existing studies [...] Read more.
Urban instant-delivery platforms increasingly require efficient, punctual, and low-carbon delivery services. Unmanned aerial vehicles (UAVs) can reduce dependence on congested ground traffic in meal delivery and further improve overall delivery efficiency through coordinated operations with ground riders at rendezvous points. However, existing studies mainly focus on ground-based routing or simplify UAV-assisted delivery as a single-objective problem, limiting their ability to balance cost, completion time, carbon emissions, and service quality. To address this limitation, this paper investigates a collaborative UAV–rider meal delivery routing problem and formulates a multi-objective optimization model integrating restaurant pickup, UAV transfer, rider last-mile delivery, and soft customer time windows. An Enhanced NSGA-II algorithm is then developed, where hybrid initialization improves solution quality and diversity, adaptive operators balance exploration and exploitation, local search refines route structures, structural repair maintains feasibility, and diversity preservation supports a well-distributed Pareto front. Comparative experiments against NSGA-II, MOPSO, NSGA-III, MOEA/D, MODE, and IMODE, together with scalability, ablation, sensitivity, and case analyses, show that E-NSGA-II provides stronger Pareto-front approximation. The results support its use as a decision-support method for service-aware and low-carbon UAV–rider meal delivery, while also revealing additional computational cost. Full article
(This article belongs to the Special Issue Advanced Air Mobility (AAM))
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28 pages, 4784 KB  
Article
Speed-Based Tactical Deconfliction of Multiple Aircraft Around a Vertiport Through a Conservative Airspace Discretization Algorithm and Constraint Programming
by Imanol Iriarte, Estela Nieto Ramos, Iñaki Iglesias, Josu Del Río, Joseba Lasa, Santi Vilardaga, Sergi Lucas and Basilio Sierra
Aerospace 2026, 13(6), 519; https://doi.org/10.3390/aerospace13060519 - 3 Jun 2026
Viewed by 547
Abstract
This article discusses a novel aircraft coordination algorithm for automated vertiport operation. New applications of Innovative Air Mobility (IAM) including inspection, logistics and security UAVs, Urban Air Mobility (UAM) or Regional Air Mobility (RAM) present a coordination challenge, especially near vertiports, as large [...] Read more.
This article discusses a novel aircraft coordination algorithm for automated vertiport operation. New applications of Innovative Air Mobility (IAM) including inspection, logistics and security UAVs, Urban Air Mobility (UAM) or Regional Air Mobility (RAM) present a coordination challenge, especially near vertiports, as large numbers of vehicles with different characteristics share the airspace, and so avoiding collisions, optimizing resource usage and operating with low human intervention is important.In this paper, this problem is addressed by proposing a new formulation of the aircraft coordination problem that makes use of a discretized airspace to detect potential conflicts and collisions between cooperative and non-cooperative aircraft in the surroundings of a vertiport. The proposed algorithm not only considers the cells traversed by the aircraft, but also the set of adjacent cells, making the algorithm more conservative and robust than other algorithms found in the literature, and achieving a 100% conflict-detection rate. A mathematical model of aircraft dynamics is employed to turn high-level flight plans into detailed aircraft trajectories, using those trajectories to detect potential collisions. The deconfliction problem is formulated as a mixed-integer optimization program that computes orders of pass for every conflict while minimizing the divergence between requested time of arrival (RTA) and estimated time of arrival (ETA). This problem is implemented in OR-Tools to be solved by means of the CP-SAT solver. The validity of the solution is tested by extensive simulation, showing tactical coordination of up to 25 aircraft landing on a vertiport. Full article
(This article belongs to the Special Issue Advanced Air Mobility (AAM))
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