Recent Developments in Vehicle System Dynamics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 1
Special Issue Editor
Special Issue Information
Dear Colleagues,
The global rail transit network is becoming increasingly interconnected, playing a pivotal role in promoting economic development and international cooperation. This expansion has led to heightened demands for rail vehicles in terms of high-speed operation, heavy-haul capacity, lightweight design, and environmental sustainability, posing both challenges and opportunities for the advancement of vehicle system dynamics. On one hand, the design of next-generation rail vehicles requires innovative solutions to meet these stringent performance criteria; on the other hand, the maintenance, condition monitoring, and life-cycle assessment of existing fleets have become critical to ensuring operational safety and cost efficiency.
This Special Issue aims to compile original research and cutting-edge developments in the field of rail vehicle system dynamics, with a focus on new vehicle system design, dynamic analysis, abnormal vibration monitoring, and control. We welcome contributions addressing theoretical, numerical, and experimental methodologies, including, but not limited to, the following:
- Innovative design and dynamic analysis of railway vehicles;
- Real-time monitoring and fault diagnosis of abnormal vibrations;
- Novel control techniques for enhancing vehicle dynamic performance;
- Lightweight and eco-friendly design methodologies;
- Data-driven and AI-based methods for predictive maintenance.
By fostering interdisciplinary discussions, this Special Issue seeks to provide a platform for researchers and engineers to share insights that will drive the future of rail transportation systems.
Dr. Hao Wu
Guest Editor
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Keywords
- rail vehicle system dynamics
- vibration monitoring and control
- high-speed and heavy-haul railways
- lightweight and sustainable design
- fault diagnosis and predictive maintenance
- ride comfort and stability
- AI/ML in rail dynamics
- life-cycle assessment
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