铁路通信信号工程技术2026，Vol.23Issue(8)：1-10,10.DOI:10.3969/j.issn.1673-4440.2026.08.001
人工智能在轨道交通安全相关应用中的思考
Thoughts on Safety-Relevant Applications of Artificial Intelligence in Rail Transport
摘要
Abstract
This research analyzes safety issues related to the application of AI/ML technologies in rail transport,and sorts out their challenges relative to traditional technologies for safety-relevant software.Based on a comparative study of the standard series on AI/ML technologies for the automotive industry and general purposes,and in view of the special features of the rail transport industry,a layered safety architecture is examined.The application methods of AI/ML technologies in rail transport are classified according to their safety impact,and the implementation path of AI/ML technologies in safety-relevant applications is proposed.This study presents general principles for safety-relevant applications of AI/ML technologies in rail transport,such as imposing restrictions through boundaries and mitigating model uncertainties through deterministic safety mechanisms,thereby enabling intelligent empowerment without undermining system safety level.关键词
轨道交通/人工智能/机器学习/功能安全/预期功能安全Key words
rail transport/artificial intelligence/machine learning/functional safety/Safety of The Intended Functionality(SOTIF)分类
信息技术与安全科学引用本文复制引用
陈光,孙超,邱兆阳,吴伟航,李艳峰..人工智能在轨道交通安全相关应用中的思考[J].铁路通信信号工程技术,2026,23(8):1-10,10.基金项目
国家重点研发计划课题项目(2022YFB4300603) （2022YFB4300603）
