Emerging Communication, Computing and Control Technologies for Internet of Vehicles

Dear Colleagues,

Internet of Vehicles (IoV), as one of the utmost important parts of a smart city, is a promising paradigm that allows intelligent vehicles to interact with drivers, environments and road-side units. IoV is envisioned to improve the road safety and provide in-car entertainment and on-board Internet services, such as social networking, online media streaming, online navigation and real-time traffic report acquisition.

Relying on the emergence of 6G, which is characterized by higher bandwidth and lower latency, IoV will be allowed to provide more accurate, real-time, and customized services for vehicle networks in the future. However, with the explosively increasing number of IoV devices (e.g., smart vehicles, road-side units, sensors, ICT infrastructures), the operation and management efficiency of IoV systems face unprecedented challenges in such a new era. Moreover, autonomous driving, as a key enabling technology of IoV, is rapidly developing and is expected to achieve Level 4/5 very recently. These prompt the new evolution of IoV with significant demands on computing, communication and control infrastructures/resources, which are inherently limited, and thus a system-wide optimization becomes imperative and necessary. In addition, through integration with advanced Artificial Intelligence (AI), IoV could contribute to the establishment of intelligent transportation systems (ITS) by achieving full automation, data-driven decision making and ultra-high reliability. Motivated by these requirements, a variety of corresponding communication, computing and control technologies are recently developed.

The purpose of this Special Issue is to present emerging communication, computing and control technologies for IoV. The editorial board invites academic researchers and industrial experts to submit insightful and revolutionary contributions in the form of research and review articles focusing on, but not limited to, the following potential topics:

1. IoV architecture and system design;
2. IoV applications and smart transportations;
3. Communication technologies and protocols for IoV;
4. Resource optimization/scheduling and QoS guarantee for IoV;
5. Cloud/edge/fog computing enabled IoV;
6. Machine learning, deep learning and federated learning for IoV;
7. IoV-based intelligent traffic signal control;
8. IoV-based traffic management and congestion control;
9. Autonomous driving techniques for IoV;
10. Data-driven intelligent transportation systems (ITS);
11. Signal sensing, processing, transmission techniques for IoV;
12. Intelligent control techniques;
13. Computer vision and pattern recognition for IoV;
14. Camera/Radar/Lidar-based tracking and detection systems.

Prof. Dr. Changyan Yi
Prof. Dr. Jun Cai
Prof. Dr. Xiaolong Li
Guest Editors

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