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Aerospace
Special Issues
Advanced Air Mobility
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Special Issue "Advanced Air Mobility"

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 2023 | Viewed by 4020

Special Issue Editors

Prof. Dr. Gokhan Inalhan

E-Mail Website
Guest Editor
School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
Interests: autonomous systems; advanced flight controls; human–autonomy interaction; urban air mobility; explainable AI for trustworthy autonomous systems
Special Issues, Collections and Topics in MDPI journals
Dr. Yan Xu

E-Mail Website
Guest Editor
School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
Interests: aeronautical systems; aviation management & operations; computing, simulation & modelling

Special Issue Information

Dear Colleagues,

The seamless integration of unmanned traffic management (UTM) and air traffic management (ATM) is critical to fully unlocking the potential benefits of unmanned aerial systems (UAS) applications. Alongside the integration of UTM with the ATM system, an emerging Urban Air Mobility (UAM) focusing on passenger or cargo-carrying air transportation using specific corridors within an urban environment aims to further expand such integration towards the concept of Advanced Air Mobility.

The Special Issue addresses the broad topics related to Advanced Air Mobility and welcomes papers dealing with, but not limited to:

  • Airspace type and structure
  • Advanced AAM services
  • Separation and conflict management
  • Integration with UTM/U-space and ATM
  • AAM vehicle advances
  • Vertiport operations
  • Contingency management
  • AAM Fleet management
  • AAM Modelling and simulation
  • AI/ML applications in AAM
  • CNS technologies
  • Autonomy and AI for AAM
  • Safety assessment methodology
  • Performance framework
  • Verification and validation
  • Regulations and frameworks
  • Demonstrations

We look forward to receiving your contributions.

Prof. Dr. Gokhan Inalhan
Dr. Yan Xu
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 1800 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 (2 papers)

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Article
Attitudes towards Urban Air Mobility for E-Commerce Deliveries: An Exploratory Survey Comparing European Regions
by
André Teixeira Silva
,
Sérgio Pedro Duarte
,
Sandra Melo
,
Adriana Witkowska-Konieczny
,
Michele Giannuzzi
and
António Lobo
Aerospace 2023, 10(6), 536; https://doi.org/10.3390/aerospace10060536 - 05 Jun 2023
Viewed by 428
Abstract
This study explores attitudes towards urban air mobility (UAM) for e-commerce deliveries. UAM, which utilizes drones, has the potential to revolutionize transport services and logistics, leading to economic benefits and reductions in congestion and pollution. However, public acceptance is crucial for a successful [...] Read more.
This study explores attitudes towards urban air mobility (UAM) for e-commerce deliveries. UAM, which utilizes drones, has the potential to revolutionize transport services and logistics, leading to economic benefits and reductions in congestion and pollution. However, public acceptance is crucial for a successful implementation; thus, understanding the people’s perspective is key. Descriptive statistics were employed to evaluate survey results from three different European regions, followed by a cluster analysis to define potential user profiles. This study revealed slightly different perceptions towards UAM between the analyzed regions, but also a generally positive attitude. The most important expected identified benefits from UAM were a decrease in congestion and pollution in city centers. High-acceptance segments are gender-balanced and correspond mostly to active population and frequent online shoppers that perceive value in drone deliveries, especially related to an increased convenience and speed. They support public investment in UAM and are willing to pay more for these services and to have their home flown over. Opposite attitudes were expressed by low-acceptance segments, which are female-dominated and include mostly non-frequent online shoppers. The identified user profiles in this study can support the development of public policy and marketing strategies to increase acceptance and adoption. Full article
(This article belongs to the Special Issue Advanced Air Mobility)
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Article
GNSS-Denied Semi-Direct Visual Navigation for Autonomous UAVs Aided by PI-Inspired Inertial Priors
by
Eduardo Gallo
and
Antonio Barrientos
Aerospace 2023, 10(3), 220; https://doi.org/10.3390/aerospace10030220 - 25 Feb 2023
Viewed by 1102
Abstract
This article proposes a method to diminish the horizontal position drift in the absence of GNSS (Global Navigation Satellite System) signals experienced by the VNS (Visual Navigation System) installed onboard a UAV (Unmanned Air Vehicle) by supplementing its pose estimation non-linear optimizations with [...] Read more.
This article proposes a method to diminish the horizontal position drift in the absence of GNSS (Global Navigation Satellite System) signals experienced by the VNS (Visual Navigation System) installed onboard a UAV (Unmanned Air Vehicle) by supplementing its pose estimation non-linear optimizations with priors based on the outputs of the INS (Inertial Navigation System). The method is inspired by a PI (Proportional Integral) control loop, in which the attitude and altitude inertial outputs act as targets to ensure that the visual estimations do not deviate past certain thresholds from their inertial counterparts. The resulting IA-VNS (Inertially Assisted Visual Navigation System) achieves major reductions in the horizontal position drift inherent to the GNSS-Denied navigation of autonomous UAVs. Stochastic high-fidelity Monte Carlo simulations of two representative scenarios involving the loss of GNSS signals are employed to evaluate the results and to analyze their sensitivity to the terrain type overflown by the aircraft. The authors release the C++ implementation of both the navigation algorithms and the high-fidelity simulation as open-source software. Full article
(This article belongs to the Special Issue Advanced Air Mobility)
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