Intelligent Transportation Systems: Advanced Technologies and Future Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 2478
Special Issue Editors
Interests: road traffic; traffic information systems; automobiles; convolutional neural nets; graph theory; learning (artificial intelligence); recurrent neural nets; time series; traffic engineering computing; belief ne
Interests: intelligent robot; microrobot; autonomous vehicle; reinforcement learning
Special Issue Information
Dear Colleagues,
The rapid growth of smart cities is transforming transportation through advanced technologies. This Special Issue highlights the latest innovations and challenges in ITS. A key focus is Intelligent Infrastructure-Assisted ITS, which integrates vehicle–road–cloud information systems to enhance transportation management. By enabling real-time communication, data processing, and predictive analytics, this infrastructure improves traffic management, navigation, and safety while reducing accidents. With edge computing and distributed architectures, it ensures low-latency, cross-modal storage that is crucial for efficient ITS operations. This Special Issue also addresses challenges like energy management, security, and scalable global deployment, inviting high-quality manuscripts on these topics.
This Special Issue aims to provide a comprehensive overview of how such infrastructures are being developed, tested, and applied in urban environments while addressing future research directions and challenges. We encourage the submission of high-quality manuscripts that explore the following topics:
- Novel architectures and frameworks for intelligent infrastructure in ITS.
- Edge computing in real-time traffic management and control systems.
- Low-latency communication methods and efficient data storage for ITS applications.
- Cross-modal storage and collaborative computing for enhanced decision-making.
- Energy management, security, and scalability in intelligent transportation infrastructures.
- Multimodal spatiotemporal data integration in intelligent traffic monitoring and optimization.
- Cross-domain traffic entity perception and fusion technologies in intelligent transportation systems.
- Simulation and optimization of intelligent transportation systems based on digital twin technology.
Dr. Lei Peng
Dr. Jia Liu
Dr. Kun Xu
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent transportation system (ITS)
- vehicle–road–cloud integration
- intelligent infrastructure-assisted ITS
- edge computing
- spatiotemporal multimodal fusion perception
- spatiotemporal multimodal data processing
- traffic management and control
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