Digital Twins and Artificial Intelligence in Transportation Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 July 2026 | Viewed by 432
Special Issue Editor
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
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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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