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作 者:Jun Liu Gehui Liu Yu Wang Wanqiu Zhang
机构地区:[1]Beijing National Railway Research&Design Institute of Signal&Communication Group Co.Ltd.,Beijing 100070,China [2]Engineering Research Center of Railway Industry of Intelligent and Autonomous Train Control,Beijing 100070,China
出 处:《High-Speed Railway》2024年第3期172-179,共8页高速铁路(英文)
基 金:supported by the National Key R&D Program of China(2022YFB4300500).
摘 要:The multi-mode integrated railway system,anchored by the high-speed railway,caters to the diverse travel requirements both within and between cities,offering safe,comfortable,punctual,and eco-friendly transportation services.With the expansion of the railway networks,enhancing the efficiency and safety of the comprehensive system has become a crucial issue in the advanced development of railway transportation.In light of the prevailing application of artificial intelligence technologies within railway systems,this study leverages large model technology characterized by robust learning capabilities,efficient associative abilities,and linkage analysis to propose an Artificial-intelligent(AI)-powered railway control and dispatching system.This system is elaborately designed with four core functions,including global optimum unattended dispatching,synergetic transportation in multiple modes,high-speed automatic control,and precise maintenance decision and execution.The deployment pathway and essential tasks of the system are further delineated,alongside the challenges and obstacles encountered.The AI-powered system promises a significant enhancement in the operational efficiency and safety of the composite railway system,ensuring a more effective alignment between transportation services and passenger demands.
关 键 词:High-speed railway Multi-mode railway system Artificial intelligence Large-scale mode system framework Safety and efficiency improvement
分 类 号:U284.59[交通运输工程—交通信息工程及控制]
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