Vehicle Dynamics and Control: Advanced Mobility Technologies and Transportation Safety
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 125
Special Issue Editor
Interests: automotive engineering; sustainable mobility; transportation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to announce the launch of a new Special Issue, ‘Vehicle Dynamics and Control: Advanced Mobility Technologies and Transportation Safety’, a peer-reviewed publication focused on cutting-edge research, advancements, and applications in vehicle dynamics, control systems, advanced mobility technologies, and safety.
With the rapid evolution of autonomous vehicles, electrification, and advanced driver-assistance systems (ADAS), understanding and optimizing vehicle dynamics and control are essential for improving safety, efficiency, and sustainability. This journal aims to bridge the gap between academic research and practical industry applications, providing a platform for scholars, researchers, engineers, and practitioners to share innovative methodologies, transformative solutions, and knowledge in the mobility field.
This Special Issue aims to address the challenges, opportunities, and advancements in vehicle dynamics and control. Topics of interest include, but are not limited to, the following:
- Vehicle dynamics:
- Dynamics of road, off-road, and hybrid vehicles;
- Aerodynamic influences on vehicle performance;
- Tire modeling, road interaction, and traction optimization;
- Stability and handling in varying conditions.
- Control systems:
- Model predictive control for vehicle performance;
- Path planning and trajectory optimization;
- Real-time embedded control systems;
- Cooperative and connected vehicle control.
- Advanced mobility technologies:
- Autonomous and connected vehicle systems;
- Electrification and hybrid vehicle dynamics;
- Human–machine interactions and advanced driver-assistance systems (ADAS);
- Digital twins for vehicle systems and mobility applications.
- Emerging applications for safety and sustainability:
- AI and machine learning in vehicle control and ethics;
- Sustainable and energy-efficient mobility solutions;
- Vehicle platooning, cooperative driving, and traffic management systems;
- Testing, simulation, and validation of advanced vehicle systems.
Prof. Dr. Nadir Yilmaz
Guest Editor
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 dynamics
- control systems
- autonomous vehicles
- connected vehicles
- advanced driver-assistance systems
- electrification
- digital twins
- machine learning
- sustainable mobility
- transportation safety
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