Smart Urban Air Mobility
A special issue of Smart Cities (ISSN 2624-6511). This special issue belongs to the section "Smart Transportation".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1950
Special Issue Editors
Interests: autonomous system security; cyber-physical security of urban air mobility; cyber-physical security of drone-based applications; multi-agent systems for drone teams and networks
Interests: artificial intelligence; machine learning; urban air mobility; multi-agent systems; socio-technical simulation; autonomous system safety
Interests: modeling and simulation of transport and logistic systems; multi-agent systems; socio-technical simulation models; decision support systems
Special Issue Information
Dear Colleagues,
Severe urban traffic congestion and environmental deterioration have become significant challenges for major cities worldwide due to population growth, accelerated urbanization, and economic development. In recent years, smart technologies are being integrated in traditional transport to manage urban traffic management and innovate ground transportation modes. However, complementary solutions are needed to face the ever-increasing demand to overcome congestion.
Urban air mobility (UAM) has emerged as a promising alternative. Recent analyses have foreseen a growing market at the global level, considering the new added-value business models extending the perspective of the industries and of the service operators; the increasing need of alternative modes of transport and of green transports; and the creation of new economic spaces above cities. UAM is expected to be part of sustainable transition strategies and may assume a prominent role in the innovation of cities.
Due to its recent development, UAM cannot neglect smart technologies to better accomplish the future roadmaps towards the transition to smart cities. In line with the general definition of smart transportation, smart urban air mobility (S-UAM) can be interpreted as the application of advanced sensor, computer, electronic, and communication technologies, together with advanced management strategies in an integrated manner to improve the key enabling technologies and engineering approaches of the urban air transportation system.
This Special Issue of Smart Cities is devoted to promoting the investigation of the latest research and applications of S-UAM for advancing effective, efficient, safe, secure, resilient, and socially accepted systems for air passenger and cargo transportation within urban areas. This Special Issue seeks contributions that offer insights into the key aspects of S-UAM (technologies, systems, applications, use cases, and challenges) in the form of research articles, literature reviews, case reports, futures studies, short communications, project reports, and discussion papers. The scope of this Special Issue includes, but is not limited to, the following broad topics:
- Artificial intelligence-based systems and applications in S-UAM;
- Multi-agent solutions for S-UAM applications;
- Cloud–edge–fog computing in S-UAM;
- Mobility as a service for interoperability with other transportation modes;
- S-UAM ground infrastructures;
- Cybersecurity of S-UAM systems and applications;
- Cyber-physical security of S-UAM systems and applications;
- Novel S-UAM communication solutions;
- Physical-layer security of S-UAM communications;
- Novel policy and regulatory approaches for S-UAM;
- Human factors for S-UAM;
- Social acceptance of S-UAM;
- Digital twins of S-UAM systems;
- Advanced sensors for S-UAM applications;
- Sustainable S-UAM models;
- Business models for S-UAM.
Dr. Domenico Pascarella
Dr. Gabriella Gigante
Prof. Dr. Miquel Angel Piera
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. Smart Cities is an international peer-reviewed open access semimonthly 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 2000 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
- urban air mobility
- technologies for urban air mobility
- artificial intelligence for urban air mobility
- cybersecurity of urban air mobility
- infrastructures for urban air mobility
- mobility as a service
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Current Advancements in Drone Technology for Medical Sample Transportation
Author: Stierlin
Highlights: Key highlights include advancements in drone navigation and autonomy, improved power management, advanced environmental sensors, and specialized payload containers. Drones offer rapid, secure medical sample transport, crucial for timely healthcare delivery. Case studies show effectiveness in remote areas. Challenges include regulatory and ethical issues, with ongoing efforts to integrate drones into healthcare systems.
