Explorations in Vehicle–Road Collaborative Automatic Driving Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: closed (30 December 2023) | Viewed by 104
Special Issue Editors
Interests: key technologies such as wireless high-dynamic network (vehicle networking; ship networking; drone and cross-domain) transmission networking; group intelligence collaboration; intelligent information processing are applied to 5G vehicle and road collaboration; waterway transportation; cluster intelligence and other fields.
Interests: intelligent vehicle; artificial intelligence; traffic safety; vehicle behavior recognition; machine learning; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The exploration of vehicle–road collaborative automatic driving systems focuses on developing advanced technologies that enable vehicles to communicate and cooperate with the road infrastructure. These systems aim to enhance safety, efficiency, accessibility, infrastructure optimization, environmental sustainability, and the overall driving experience. The prospect and importance of vehicle–road collaborative autonomous driving systems are significant and hold numerous benefits for the future of transportation. The ongoing research, development, and deployment of these systems showcase immense potential to revolutionize transportation and enhance our daily lives.
Overall, the exploration of vehicle–road collaborative automatic driving systems aims to create a harmonious interaction between vehicles and the road environment, leveraging technology to enhance safety, efficiency, and sustainability on our roads.
This Special Issue aims to collect research on vehicle–road collaborative autonomous driving systems, including but not limited to: Vehicle-to-Infrastructure (V2I) Communication; Vehicle-to-Vehicle (V2V) Communication; Sensor Fusion and Perception; Cooperative Control and Planning; and Infrastructure Support. We welcome contributions from scholars in the relevant fields.
Prof. Dr. Tong Wang
Dr. Zhijun Chen
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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.
Keywords
- vehicle-to-infrastructure (V2I) communication
- vehicle-to-vehicle (V2V) communication
- sensor fusion and perception
- cooperative control and planning
- infrastructure support
