AI Innovations in Smart Transportation
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 174
Special Issue Editors
Interests: intelligent maintenance management of asphalt pavement; structural health monitoring; pavement distress detection based on computer vision; time series forecasting; building information modeling
Special Issues, Collections and Topics in MDPI journals
Interests: prompt-guided large language models; evidential deep neural networks; decision-making under uncertainty; AI-enabled ground-penetrating radar detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent Transportation Systems (ITSs) represent a transformative approach to urban mobility, seamlessly integrating people, vehicles, and road networks through advanced information and communication technologies. By leveraging artificial intelligence (AI), ITSs enhance traffic efficiency, reduce congestion, and improve road safety, making these systems indispensable for addressing the growing challenges of modern transportation.
Recent advancements in AI have significantly impacted two critical domains within this field: smart transportation infrastructure (e.g., roads, bridges, tunnels) and autonomous vehicle technology. This Special Issue explores cutting-edge AI applications in these areas, including the following:
- AI-driven infrastructure damage detection to facilitate early maintenance;
- AI-based structural health monitoring to ensure longevity;
- Digital twins for real-time infrastructure simulation and management;
- AI-assisted transportation design to optimize urban planning;
- Smart sensor systems enabling the reliable implementation of autonomous driving;
- AI-powered route planning for dynamic traffic adaptation;
- Autonomous vehicle control systems for safe navigation;
- Eco-friendly smart transport solutions to reduce emissions and energy consumption.
These innovations highlight AI’s pivotal role in shaping the future of sustainable, efficient, and resilient transportation networks. Researchers and practitioners are invited to contribute insights on these emerging trends to drive further progress in this field.
Dr. Chengjia Han
Dr. Zheng Tong
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent transportation system
- artificial intelligence
- transport infrastructure
- digital twin
- autonomous driving
- pattern recognition
- sustainability
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