Cooperative Decision-Making and Motion Optimization in Mixed-Traffic Environments
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 125
Special Issue Editors
Interests: mixed traffic; autonomous vehicle control; signal control
Interests: V2X and safety control; traffic big data; road network risk assessment; traffic policy decision analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As autonomous driving technology continues to advance, mixed-traffic environments—where autonomous vehicles (AVs) and human-driven vehicles (HVs) share the road—pose unique challenges and opportunities for vehicle coordination and motion optimization. In such environments, effective decision-making and coordination among vehicles are crucial to ensuring safety, efficiency, and fluid traffic flow. The integration of advanced communication technologies, such as V2X (Vehicle-to-Everything) and 5G, with innovative algorithms for decision-making and motion planning, is essential for the development of intelligent transportation systems (ITSs) that can handle these complexities.
This Special Issue focuses on the latest research and innovations in vehicle coordination and motion optimization in mixed-traffic environments. We aim to address the various challenges and explore potential solutions that can enhance the interaction between AVs and HVs, improve traffic safety, and optimize traffic management.
Topics of interest include, but are not limited to, the following:
- Coordinated decision-making algorithms for mixed-traffic environments;
- Motion planning and control for autonomous vehicles in mixed traffic;
- V2X communication technologies for vehicle coordination;
- Human-machine interaction and behavioral modeling in mixed traffic;
- Traffic flow optimization in mixed-traffic scenarios;
- Safety and reliability analysis in mixed-traffic environments;
- Multi-agent systems and cooperative control for vehicle networks;
- Integration of 5G/6G technologies in vehicle decision-making and motion optimization;
- AI and machine learning approaches for predictive modeling in mixed traffic.
Dr. Shaohua Cui
Dr. Miaomiao Liu
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. 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.
Keywords
- mixed-traffic environments
- cooperative decision-making
- motion optimization
- autonomous vehicles (AVs)
- human-driven vehicles (HVs)
- V2X communication
- traffic flow optimization
- multi-agent systems
- 5G/6G technologies in transportation
- predictive modeling in mixed traffic
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
