Special Issue "Artificial Intelligence in Infrastructure and Transports"
Special Issue Editors
Interests: rail infrastructure; structural engineering; dynamics; reliability and safety; impact engineering
Special Issues and Collections in MDPI journals
2. School of Civil Engineering, University of Birmingham, Edgbaston B15 2TT, UK
Interests: operations research in railway maintenance; data analysis; optimization; risk-resilience; engineering education
2. School of Civil Engineering, University of Birmingham, Edgbaston B15 2TT, UK
Interests: artificial intelligence; Bayesian network; big data analytics; risk and safety; maintenance
Special Issue Information
Dear Colleagues,
Disruptions in the operation of our countries’ infrastructure may put the functioning of our societies and their economies at risk. Such disruptions may result from many kinds of hazards and physical and/or cyberattacks on installations and systems. Recent events have demonstrated the increased interconnection among the impact of hazards, of the two kinds of attacks and, conversely, the usefulness for operators of combining cyber and physical security solutions to protect installations of the critical infrastructure globally. New ideas and innovation for comprehensive yet installation-specific approaches are necessary to secure the integrity of existing or future, public or private, connected and interdependent assets, installations, and infrastructure systems.
This Special Issue on “Artificial Intelligence in Infrastructure and Transports” enables transparent, fair, rapid communication of research that highlights the role of big data, data sciences, artificial intelligence, and engineering in multidisciplinary areas across materials science, physics, and engineering. Emphasis is on the impact, depth, and originality of new concepts, methods, and observations at the forefront of applied sciences.
Among the topical areas of interest are:
- Big Data
- Data Analytics, Visualisation
- Digital twins
- Artificial Intelligence
- Infrastructures
- Transport systems
- Predictions
- Applications of AI in practices
- Case studies of AI applications
Dr. Sakdirat Kaewunruen
Dr. Mohd Haniff Osman
Dr. Serdar Dindar
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 papers will be 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. AI is an international peer-reviewed open access quarterly 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 1000 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
- Data
- Artificial Intelligence
- Applications
- Data Sciences
- Digital Twins