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公路运输自动驾驶技术对铁路货运的影响及挑战 被引量:1

Impact and Challenges of Road Transportation Autonomous Driving Technology on Railway Freight
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摘要 人工智能自动驾驶技术将大幅降低卡车运输公司的固有成本,这会对其竞争对手铁路货运企业带来直接冲击和全新挑战,对这些经营上带来的变化因素进行分析,未雨绸缪预先研究应对措施,对于铁路企业在货物运输市场竞争中保持并提升竞争力具有重要意义。自动驾驶技术将降低公路运输成本,推动公路运输组织模式改变,促进公路运输服务升级换代。铁路运输企业应主动研究并调整市场定位,推进公铁联运的深度合作与融合,加快铁路货运向现代物流转型,利用公路自动驾驶技术拓展铁路服务链,提升铁路运输生产智能化自动化水平。 Artificial intelligence automatic driving technology will significantly reduce the inherent costs of truck transportation companies,which will bring direct impact and new challenges to their competitors'railway freight enterprises.Analyzing the change factors brought by these operations and studying the Countermeasures in advance are of great significance for railway enterprises to maintain and improve their competitiveness in the freight transportation market competition.Automatic driving technology will reduce highway transportation costs,promote the change of highway transportation organization mode,and promote the upgrading of highway transportation services.Railway transportation enterprises should take the initiative to study and adjust their market positioning,promote the in-depth cooperation and integration of highway and railway combined transportation,accelerate the transformation of railway freight to modern logistics,expand the railway service chain by using highway autopilot technology,and improve the intelligent automation level of railway transportation production.
作者 胡卫平 胡朝晖 HU Weiping;HU Zhaohui(Party School of China Railway Guangzhou Bureau Group Corporation,Guangzhou 510660,China)
出处 《综合运输》 2023年第5期161-165,共5页 China Transportation Review
基金 铁道党校全路党校系统科研课题:公路运输自动驾驶技术对铁路货运的影响模式研究。
关键词 自动驾驶 公转铁 公路货运 铁路货运 现代物流 多式联运 Autonomous driving Road transport to rail Road freight Rail freight Modern logistics Multimodal transport
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