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March 12, 2026Bulletin of National Natural Science Foundation of ChinaOpen Access

Research and Application of Artificial Intelligence in Railway Vehicles：Progress，Challenges，and Prospects

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Authors

CPChang PengTWTiantian WangBNBuzhao Niu

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Overview

Investigates AI-driven enhancements in railway vehicles, suggesting pathways for intelligent upgrades across their lifecycle.

Key Points

  • The study aims to explore how artificial intelligence can transform rail vehicles and identify key challenges and future directions.
  • Systematic review of domestic and international research on AI in rail vehicles
  • Examination of six key technology dimensions: design, manufacturing, perception, driving, services, maintenance
  • Analysis of challenges such as data governance and model reliability
  • Identification of future research needs and standardization requirements
  • Key technologies for rail vehicles include generative models and multi-source fusion perception
  • Identified challenges in data acquisition and governance
  • Highlighted the importance of integrating AI technologies for full lifecycle applications
  • Proposed strategic recommendations for technology standardization and ecosystem development

Cite This Study

Peng et al. (2026) studied this question.

synapsesocial.com/papers/69b256fe96eeacc4fcec5b8fhttps://doi.org/10.3724/bnsfc-2025-0017
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