Connected, Autonomous Driving and Smart Transportation: Theory, Methodology, Simulation and Optimization
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 4030
Interests: internet of vehicles; automatic driving; smart transportation
Interests: intelligent transportation system; vehicle cooperative control; edge computing
Connected and autonomous driving（CAD）combines wireless communication, intelligent driving, and artificial intelligence technology to realize dynamic information collection and real-time interaction with vehicles and infrastructure, as well as providing functions, such as driving environment perception, vehicle autonomous control, and traffic cooperative control. The CAD technology provides the foundation for the smart road transportation system to enhance traffic safety, improve traffic efficiency, and reduce environmental pollution. CAD is important for solving many traffic problems, which has developed rapidly worldwide in recent years. However, with the improvement of the CAD level and the increase of traffic complexity, challenges have arisen in implementing a compatible and scalable smart system, which are essential to overcome to reach an efficient, safe, green, and smart road transportation system. Therefore, it will be of great theoretical significance and practical value to study the emerging methods and technologies in connected autonomous driving and smart transportation.
The aim of this Special Issue is to collate original research and surveys on connected autonomous driving and smart transportation. We welcome both original research and review articles.
Potential topics include, but are not limited to, the following:
- Perception, prediction, positioning, and navigation methods in connected and autonomous vehicles;
- Trajectory optimization and control of connected and autonomous vehicles;
- Advanced driving assistance system;
- Cooperative management and control methods of connected and autonomous vehicles;
- Modeling and control methods of mixed traffic flow;
- Connected and autonomous driving simulation and test methods;
- AI-enabled, edge-based, and big data methods in smart transportation.
Prof. Dr. Fei Hui
Prof. Dr. Daxin Tian
Prof. Dr. Wei Shangguan
Manuscript Submission Information
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- connected and autonomous driving technology
- smart transportation
- computer vision
- artificial intelligence technology
- edge computing
- vehicle cooperative control
- mixed traffic flow
- connected and autonomous vehicles test
- big data
- advanced driving assistance system