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Digital Twins and Artificial Intelligence in Transportation Systems

This special issue belongs to the section “Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

This Special Issue will focus on the application and convergence of digital twin (DT) technologies and artificial intelligence (AI) to advance the design, monitoring, and management of transportation systems. This topical collection invites contributions that bridge electronics, sensing, data analytics, and infrastructure engineering to create next-generation intelligent and adaptive transportation networks.

The purpose of this Special Issue is to highlight advances that push digital twins beyond conceptual modelling toward scalable, data-rich, and AI-enabled platforms capable of real-time prediction, simulation, and decision support. By gathering interdisciplinary perspectives, this issue aims to accelerate progress in autonomous infrastructure management, predictive maintenance, traffic optimisation, cybersecurity, and resilience planning. Potential topics include, but are not limited to, the following research areas:

  • Digital twin frameworks;
  • AI for predictive maintenance and asset management;
  • Data fusion and sensing;
  • Simulation and optimisation;
  • Lifecycle and sustainability applications;
  • Case studies and real deployments.

Dr. Javad Zeinali
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. Electronics 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 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

  • digital twin
  • artificial intelligence
  • transportation infrastructure
  • IoT
  • application and convergence
  • predictive maintenance
  • smart cities
  • cyber–physical systems
  • sustainability
  • resilience
  • intelligent transportation systems

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Electronics - ISSN 2079-9292