Intelligent Transportation Systems: Recent Advances
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 92
Special Issue Editors
Interests: big data processing; spatiotemporal modeling; privacy-preserving computing
Special Issues, Collections and Topics in MDPI journals
Interests: traffic flow theory; traffic simulation; traffic big data processing; spatiotemporal modeling
Special Issues, Collections and Topics in MDPI journals
Interests: wireless network security; blockchain; artificial intelligence security; spatiotemporal modeling in security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of urbanization and the increasing complexity of global logistics have placed unprecedented demands on modern infrastructure. Intelligent Transportation Systems (ITS) have emerged as a cornerstone of the "Smart City" paradigm, leveraging cutting-edge sensing, communication, and computing technologies to enhance safety, efficiency, and sustainability. As we move toward a highly interconnected future, the integration of artificial intelligence and high-speed wireless networks is redefining how we manage mobility.
This Special Issue, "Intelligent Transportation Systems: Recent Advances," aims to provide a comprehensive forum for researchers and practitioners to share groundbreaking developments in the theory and application of ITS. We are particularly interested in the convergence of the Space-Air-Ground Integrated Network (SAGIN) and its role in providing seamless connectivity for autonomous vehicles, unmanned aerial vehicles (UAVs), and maritime transport. Furthermore, the rise of Edge Computing and Privacy-Preserving Technologies, such as Federated Learning and Blockchain, presents new opportunities and challenges for real-time traffic management and data security.
We invite original research articles and state-of-the-art reviews that address both theoretical innovations and practical implementations. To ensure a comprehensive overview of the field, the scope of this Special Issue is intentionally broad, covering a wide array of topics including, but not limited to:
- Spatio-Temporal Data Modeling for traffic flow forecasting and congestion management.
- Autonomous and Connected Vehicles (CAV): Perception, path planning, and V2X communication.
- Smart Infrastructure: IoT-enabled monitoring and adaptive traffic signal control.
- Multimodal Transport Systems: Optimization of urban transit, logistics, and freight.
- Security and Privacy in ITS: Trusted computing, differential privacy, and decentralized traffic architectures.
- Space-Air-Ground Integrated Networks (SAGIN) for remote and high-speed transportation sensing.
- Generative AI and Large Language Models (LLMs) for decision-making in complex traffic environments.
- Human–Machine Interaction and social-aware mobility services.
Prof. Dr. Teng Zhou
Dr. Zhizhe Lin
Prof. Dr. Chunjie Cao
Dr. Youyi Song
Guest Editors
Manuscript Submission Information
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Keywords
- smart city and urban mobility
- autonomous vehicles and v2x communication
- spatio-temporal big data analytics
- edge intelligence and federated learning
- traffic flow prediction and management
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