Intelligent Connected Vehicles: Technologies, Applications and Challenges
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 December 2026 | Viewed by 24
Special Issue Editors
Interests: federated learning; deep learning; advanced networking technologies, including VANETs, ITS, WSNs, SDN, and IoT
Interests: mobility support for the next-generation Internet (IPv6); internet audio-visual media; communications for intelligent vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of connected vehicles is transforming modern transportation by enabling safer, smarter, more efficient, and more sustainable mobility systems. Intelligent Connected Vehicles (ICVs) integrate vehicular communication, artificial intelligence, sensing, edge/cloud computing, the Internet of Things, cybersecurity, and data-driven decision-making to support varied emerging applications. These technologies are reshaping vehicular networks, autonomous mobility, traffic management, cooperative driving, vehicle-to-everything communication, and smart transportation infrastructures.
This Special Issue, “Intelligent Connected Vehicles: Technologies, Applications and Challenges,” will provide a platform for researchers, engineers, and practitioners to present recent advances, innovative solutions, and future perspectives in the field of intelligent connected mobility. Its scope includes, but is not limited to, AI-enabled vehicular systems, machine learning and deep learning for connected vehicles, vehicular ad hoc networks, 5G/6G-enabled vehicle communication, edge intelligence, digital twins, intelligent transportation systems, autonomous driving support, sensor fusion, vehicle health monitoring, traffic prediction, energy-efficient mobility, and smart infrastructure integration.
The Special Issue also welcomes studies addressing the practical challenges of deploying ICVs in real-world environments. These challenges include communication reliability, latency, interoperability, privacy, cybersecurity, trust management, data quality, scalability, safety assurance, and regulatory considerations. Both theoretical and applied contributions are encouraged, including original research articles, review papers, simulation-based studies, experimental evaluations, and case studies.
By bringing together multidisciplinary research from communication networks, artificial intelligence, automotive engineering, transportation systems, and cyber-physical systems, this Special Issue will advance the development of secure, reliable, and ICV ecosystems. We invite high-quality submissions that contribute to the design, optimization, deployment, and evaluation of next-generation ICVs and their applications in future smart mobility.
Dr. Muhammad Asad
Dr. Manabu Tsukada
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 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.
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Keywords
- intelligent connected vehicles
- connected and autonomous vehicles
- vehicular networks
- vehicle-to-everything communication
- V2X
- intelligent transportation systems
- artificial intelligence
- machine learning
- deep learning
- edge computing
- 5G and 6G vehicular communication
- Internet of Vehicles
- smart mobility
- autonomous driving
- cooperative driving
- sensor fusion
- cybersecurity
- privacy
- digital twins
- smart transportation infrastructure
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