Next-Generation Intelligent Transportation Systems: IoT, Machine Learning, and Edge Analytics
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 February 2026) | Viewed by 358
Special Issue Editor
Interests: sensor networks; internet of things; machine learning; deep learning; medium access control; intelligent transportation; prediction; energy harvesting; artificial intelligence; image processsing; CLA
Special Issue Information
Dear Colleagues,
This Special Issue focuses on recent advancements and emerging technologies at the intersection of the Internet of Things (IoT) and intelligent transportation systems (ITSs). The convergence of the IoT with data-driven techniques—such as machine learning, edge computing, and vehicular communication—has facilitated the development of smart, autonomous, and sustainable transportation infrastructures.
We welcome original research articles, reviews, and case studies that discuss innovations in the following areas:
- IoT-based traffic monitoring, management, and optimization;
- Vehicle-to-everything (V2X) communications and cooperative ITSs;
- AI/ML for traffic prediction, routing, and anomaly detection;
- Edge and fog computing architectures for real-time ITS data processing;
- Cybersecurity and data privacy in connected transportation systems;
- Digital twins and simulation models for intelligent mobility;
- Sustainable and energy-efficient IoT deployment in ITSs;
- Autonomous and electric vehicle integration into smart cities.
The purpose of this Special Issue is to promote cutting-edge research that enhances the intelligence, safety, efficiency, and sustainability of transportation systems. By showcasing novel architectures, algorithms, and implementation case studies, it aims to bridge the gap between theoretical development and practical deployment in smart mobility ecosystems.
The literature on the IoT and ITS is rapidly growing; however, many existing works tend to address these domains in isolation or with a limited integration of modern enabling technologies such as AI, edge computing, or V2X frameworks. This Special Issue seeks to supplement the current body of research via the following ways:
- Highlighting holistic and interdisciplinary approaches combining the IoT with AI, edge, cloud, and 5G technologies in transportation;
- Encouraging system-level optimization techniques beyond isolated traffic control strategies;
- Presenting real-world and simulated deployments that demonstrate scalable, secure, and intelligent transportation infrastructures;
- Promoting the development of standardized, interoperable, and resilient systems that are crucial for the next generation of smart cities.
By offering a collection of high-quality, peer-reviewed contributions, this Special Issue will serve as a reference point for researchers, practitioners, and policymakers working toward the realization of smart, connected, and sustainable transportation systems.
Dr. Selahattin Kosunalp
Guest Editor
Manuscript Submission Information
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Keywords
- Internet of Things (IoT)
- intelligent transportation systems (ITSs)
- vehicle-to-everything (V2X) communication
- smart mobility
- edge and fog computing
- traffic prediction and optimization
- connected and autonomous vehicles (CAVs)
- machine learning in transportation
- sustainable urban mobility
- cybersecurity in ITSs
- digital twins for transportation
- real-time traffic monitoring
- 5G and C-V2X integration
- smart city infrastructure
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