Emerging Challenges and Advances of Digital Twin Applications in Intelligent Transportation Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 133
Special Issue Editors
Interests: digital twin modeling; natural language processing; healthcare informatics; automation in construction
Interests: software engineering; software security testing; reliability engineering; cyber-physical systems; system validation
Interests: computer engineering; computer networks; operating systems; ethical hacking; security architectures; cloud computing; network virtualization; multimedia protocols; project management; software development; engineering skills
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Special Issue Information
Dear Colleagues,
This Special Issue, entitled ‘Emerging Challenges and Advances of Digital Twin Applications in Intelligent Transportation Systems’, focuses on recent developments, practical implementations, and future research directions of digital twin technology in transportation. Digital twins enable the creation of virtual replicas of transportation infrastructure, vehicles, and mobility systems that can integrate real-time sensor data, simulation models, and advanced analytics. When combined with artificial intelligence, Internet of Things (IoT), and big data technologies, digital twins can significantly enhance traffic monitoring, infrastructure management, predictive maintenance, and decision-making processes in intelligent transportation environments.
Despite their potential, several challenges remain in the widespread adoption of digital twins in ITS. These include data integration from heterogeneous sources, scalability of real-time models, interoperability between platforms, cybersecurity concerns, and ensuring data privacy. This Special Issue aims to highlight innovative methodologies, frameworks, and case studies that address these challenges while advancing the practical deployment of digital twins in transportation networks. Contributions may explore applications such as smart traffic management, connected and autonomous vehicles, urban mobility planning, infrastructure monitoring, and sustainable transportation systems.
This Special Issue seeks to bring together researchers and practitioners from academia, industry, and government to present novel research, share implementation experiences, and discuss emerging trends that will shape the future of digital twin-enabled intelligent transportation systems.
We look forward to receiving your contributions.
Dr. Mangolika Bhattacharya
Dr. Saikath Bhattacharya
Dr. Eoin O’Connell
Guest Editors
Manuscript Submission Information
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Keywords
- digital twin
- intelligent transportation systems (ITS)
- smart mobility
- connected and autonomous vehicles
- traffic simulation
- real-time data integration
- internet of things (IoT)
- cyber-physical systems
- transportation infrastructure monitoring
- predictive maintenance
- urban traffic management
- mobility analytics
- smart cities
- transportation safety
- data-driven transportation
- AI in transportation
- big data analytics
- sustainable transportation
- transportation network optimization
- edge computing in ITS
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