Control Systems Design for Connected and Autonomous Vehicles

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.