华东交通大学学报2026，Vol.43Issue(2)：16-27,12.
AI赋能轨道交通:技术融合、应用实践与未来趋势
AI Empowering Rail Transit:Technology Integration,Application Practice and Future Trends
摘要
Abstract
With the acceleration of urbanization and the continuous expansion of rail transit networks,rail transit systems face the demand for more efficient,refined,and intelligent solutions in operation scheduling,facility maintenance,and train control.Artificial intelligence(AI),with its advantages in data perception,pattern recogni-tion,and intelligent decision-making,is profoundly reshaping the technical system and management mode of rail transit.From the core perspective of AI-empowering rail transit,this paper systematically reviews the current re-search progress and engineering practices around the three key links of operation optimization,equipment main-tenance,and intelligent driving,and summarizes the main challenges of existing methods in terms of high-dimen-sional data,insufficient model interpretability,and limited system integration.Furthermore,the coping paths of AI technologies such as deep learning,graph neural networks,collaborative multi-agent reinforcement learning,self-supervised learning,and digital twins are discussed.Finally,the trends of future rail transit in the directions of computing power support,standard system construction,and human-machine collaborative agent develop-ment are prospected,aiming to provide theoretical reference and practical enlightenment for the deep integration of AI and rail transit.关键词
人工智能/轨道交通/智能交通/数字孪生/平行智能/联邦学习Key words
artificial intelligence/rail transit/intelligent transportation/digital twin/parallel intelligence/feder-ated learning分类
信息技术与安全科学引用本文复制引用
陈德旺,陈鹏桥,熊刚,赵军辉,王义惠,周强..AI赋能轨道交通:技术融合、应用实践与未来趋势[J].华东交通大学学报,2026,43(2):16-27,12.基金项目
国家自然科学基金项目(62461160259) （62461160259）
福建省闽江学者讲座教授人才计划(GY-Z24014) （GY-Z24014）
福建省第三批创新之星人才计划(003002) （003002）
四川省科技厅重点研发计划项目(24SYSX0142) （24SYSX0142）
工业控制技术全国重点实验室(浙江大学)基金项目(ICT2024B10) （浙江大学）
