Railway Vehicle Dynamics
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 November 2025 | Viewed by 262
Special Issue Editor
Interests: railway vehicle dynamics; railways; longitudinal train dynamics; multibody simulation; finite element analysis; wheel–rail contact; wear; tread braking
Special Issue Information
Dear Colleagues,
The dynamics of railway vehicles play a crucial role in the overall safety, reliability, and competitiveness of railway systems. The new paradigms of virtual homologation and the recent trends in artificial intelligence techniques have thrusted works in the field, allowing us to explore a wide range of solutions with a significant reduction in testing times. At the same time, the relevance of experimental tests is still unmatched, as numerical models should always be experimentally validated.
The Applied Sciences journal has launched a new Special Issue entitled “Railway Vehicle Dynamics”, aiming to collect scientifically relevant contributions that can bring innovation to the field, addressing several topics including (but not limited to) running stability, safety, traction/braking operations, curving behavior, vibrations, comfort, and wheel–rail contact analysis. Papers should focus on the implementation of numerical/experimental techniques with the aim of optimizing the running dynamics of railway vehicles or improving the current knowledge on the complex relationship between vehicle dynamics and associated phenomena. The Special Issue welcomes papers dealing with different application frameworks, including the following:
- Design of the main vehicle components;
- Development of control logics for optimization of traction/braking or curving behavior;
- Monitoring systems/algorithms for enhanced safety and stability.
Dr. Matteo Magelli
Guest Editor
Manuscript Submission Information
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Keywords
- running safety
- running stability
- virtual homologation
- numerical methods
- experimental tests
- artificial intelligence
- mechanical design
- control
- monitoring
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