AI-Driven Innovations in Air Traffic Management and Aviation Safety
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Air Traffic and Transportation".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 1123
Special Issue Editor
Special Issue Information
Dear Colleagues,
The Special Issue “AI-Driven Innovations in Air Traffic Management and Aviation Safety” highlights emerging applications of artificial intelligence (AI) and machine learning (ML) in advancing air traffic management and airspace safety. With the rapid growth of both structured and unstructured aviation data, along with the increasing complexity of operations—especially with the integration of new airspace entrants—the need for automated, data-driven solutions has become essential. This issue invites contributions that combine aviation domain expertise with AI/ML methods, including deep learning and generative AI, to enhance the efficiency, resilience, and safety of modern airspace operations. Authors are invited to submit research articles or review manuscripts addressing (but not limited to) the following topics:
- AI/ML as a decision support tool for the airspace operations;
- Successful deployment of data-driven and automated technologies in the field operations;
- Applications of generative AI in understanding the unstructured corpus of data in aviation;
- Responsible AI techniques for deployment of data-driven tools in the domain.
- Verification and validation of AI/ML software solutions;
- AI as a service for air traffic management.
The focal topics listed above are not intended to exclude articles from additional related areas. We look forward to receiving your submissions and kindly invite you to address the Guest Editor in case of further questions.
Dr. Milad Memarzadeh
Guest Editor
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-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.
Keywords
- machine learning
- artificial intelligence
- generative AI
- air traffic management
- aviation safety
- responsible AI
- deep learning
- decision support systems
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