Control Systems Design for Connected and Autonomous Vehicles
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 3447
Special Issue Editors
Interests: networking AI; networked control system; intelligent optimization
Special Issues, Collections and Topics in MDPI journals
Interests: vehicular edge computing; internet of vehicle
Special Issues, Collections and Topics in MDPI journals
Interests: wireless resource optimization; V2X communications; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the heart of connected and autonomous vehicles are various control systems responsible for information sensing, communication, processing, and real-time decision making. The question of how to design an efficient control system for connected and autonomous vehicles has attracted wide attention from both academia and industry. To ensure real-time decision making, the control system should be able to sense new environmental information. Furthermore, the sensed information is of a large volume and requires ultra-reliable and low-delay transmissions, which requires the control system to be able to access to the V2X network through cooperating with the other vehicles. Moreover, in order to ensure the safety of autonomous driving, the information should be processed according to differentiate QoS and accuracy requirements. Finally, autonomous driving decision making, including vehicle cruise, vehicular cooperation, etc., based on the information processing results is also necessary.
This Special Issue aims to publish original research and review articles discussing control theories, communications, applications, and implementations relevant to control systems design for connected and autonomous vehicles. Topics of interest include, but are not limited to:
- System architecture, simulation, and test beds for control systems of connected and autonomous vehicles.
- Communication mechanisms in control systems for connected and autonomous vehicles, including resource allocation, access policy, satellite-assisted communications, etc.
- Edge computing and edge–cloud collaboration schemes in control systems for connected and autonomous vehicles.
- Driving environment monitoring and real-time risk detection algorithms in control systems for connected and autonomous vehicles.
- Vehicle cruise and vehicular cooperation mechanism in control systems for connected and autonomous vehicles.
- Quality of service guarantee for connected and autonomous vehicle service, including information freshness, information processing delay, information transmission channel modeling, etc.
- Muti-agent enforcement learning and distributed machine learning schemes in control systems for connected and autonomous vehicles.
- Integrated sensing, communications, and computing schemes in control systems for connected and autonomous vehicles.
- Privacy security protection for connected and autonomous vehicles.
- Digital twin-empowered intelligent transportation systems.
Dr. Zhuwei Wang
Dr. Zhidu Li
Dr. Bo Fan
Guest Editors
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Keywords
- connected and autonomous vehicles
- control system
- wireless communication
- edge computing
- vehicle cruise
- quality of service
- artificial intelligence
- privacy security protection
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