Connected and Automated Vehicles (CAVs): Technologies and Applications
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: closed (20 February 2022) | Viewed by 19171
Special Issue Editors
Interests: connected and automated vehicles; V2X; industrial IoT; digital twins; big data; intelligent machines; cooperative connected technologies
Special Issues, Collections and Topics in MDPI journals
Interests: connected and automated vehicles; decision-making optimization model; real-time motion planning; autonomous vehicle control systems; reinforcement learning
Special Issue Information
Dear Colleagues,
Connected and automated vehicles (CAVs) (connected and autonomous vehicles or self-driving cars) for the automotive industry are of great potential for reducing traffic accidents, enhancing the quality of life, and improving the efficiency of transportation systems. In the era of cooperative connected and automated mobility (CCAM), CAVs are evolving toward a vision where cars or vehicles are becoming more and more automated and wirelessly connected to cooperate for safer and more efficient driving.
Many challenges could impede the deployment of CAVs today. These include deploying advanced V2X (vehicle-to-everything) technologies, leveraging data and algorithms for CAVs, cybersecurity threats, trust issues, and other technology needs. Thus, the objective of this Special Issue is to accumulate various innovative strategies that make CAVs and other connected technologies more effective, safe, efficient, and adaptive concerning prevailing task situations and uncertainties.
The main aim of this Special Issue is to seek high-quality submissions that highlight recent breakthroughs in CAV technologies and applications, including autonomous vehicle engineering, cooperative, connected technologies, etc.
Potential topics include but are not limited to the following categories:
- Autonomous vehicle engineering
- Motion planning and control
- Multisensor information fusion
- Navigation system
- Applications of machine learning
- Development, test, and validation of automated vehicles
- Cooperative connected technologies
- CCAM technologies and applications
- Cooperative control systems
- Edge computing in mobility
- Platoons of connected and automated vehicles
- Networked optimal control
- Cooperative resource allocation and scheduling
Dr. Yanjun Shi
Dr. Zihui Zhang
Guest Editors
Manuscript Submission Information
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