Computing in Future Transportation Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 3212
Special Issue Editors
Interests: broadband mobile communication system and dedicated mobile communication; communication engineering; artificial intelligence
Special Issue Information
Dear Colleagues,
With the accelerated penetration of the new generation of information technologies such as 5G/6G, artificial intelligence, big data, and the Internet of Things in the field of transportation, the constantly moving vehicles have gradually become data centers and computing equipment on the wheels, which poses new challenges to the computing infrastructures, architecture, methods and computing capability in the future transportation system. Therefore, this special issue is aimed at introducing new ideas and experimental results of intelligent, sustainable and green computing architecture from design, service and theory to its practical application in the field of future transportation.
Potential topics related to computing in future transportation system include，but are not limited to， intelligent computing, data-intensive applications, large-scale computational science, artificial intelligence, machine learning and deep learning, new parallel and distributed computing, green computing, sustainable computing, and massive data processing from roadside infrastructure and vehicles. Computer architecture, digital twins and resource management technology, which are necessary to achieve high service performance of future transportation systems, are also topics of interest.
This Special Issue will publish high-quality, original research papers, in the overlapping fields of:
- Intelligent computing;
- Cloud/edge/fog computing;
- Green computing;
- Quantum computing;
- AI, machine learning and deep learning;
- Traffic big data processing, application, system and algorithm;
- Intelligent vehicles;
- Intelligent transport systems;
- Traffic management and control;
- Digital twins enabling transportation system;
- Internet of Things;
- Resource management and optimization;
- Security, privacy and safety systems.
Prof. Dr. Hao Wu
Prof. Dr. Hongke Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- computing in future transportation
- green computing, sustainable computing
- intelligent vehicles
- internet of vehicles
- V2X communication
- collaborative awareness and information fusion
- big data of transportation
- edge intelligent computing
- architecture modeling and performance evaluation
- AI, machine learning and deep learning
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