摘要
随着经济社会发展,旅客需求日益多元化、高质量化,导致高速铁路供需矛盾凸显、通过能力紧张。阐明了我国高速铁路运输组织具有大规模成网运营、停站方案多且复杂、动车段(所)能力不足三大特点,系统梳理了国内外高速铁路通过能力优化利用研究进展,总结了基于能力利用的列车运行图编制模型。立足国情,从兼顾旅客多样化需求和服务水平、定量优化繁忙干线跨线列车开行范围、平衡能力利用与多样化需求的列车停站方案优化、增设动车夜间驻留点以加强“三角区”短线通过能力等方面提出需要进一步探索的关键问题。研究揭示了通过能力利用与旅客服务质量的内在联系,可为制定兼顾能力利用和服务品质的高速铁路运输组织方案提供参考。
With socio-economic development,passenger demand has become increasingly diversified and quality-oriented,leading to a pronounced supply-demand contradiction and capacity constraints in the high-speed railway system.This paper elucidated three major characteristics of China’s high-speed railway organization:large-scale network operation,complex and diverse stop plans,and insufficient capacity at EMU depots.It systematically reviewed the research progress on the optimization of high-speed railway capacity utilization at home and abroad,summarizing train diagram compilation models based on capacity utilization.Grounded in China’s specific context,it proposed key issues requiring further exploration,including balancing diversified passenger demand with service levels,quantitatively optimizing the operation scope of cross-line trains on busy main lines,optimizing train stop schemes to balance capacity utilization and diversified demand,and enhancing short-distance traffic capacity in“triangular areas”by adding overnight EMU parking points.The research reveals the intrinsic connection between capacity utilization and passenger service quality,providing a reference for formulating high-speed railway transport organization plans considering both capacity utilization and service quality.
作者
王汝心
聂磊
谭宇燕
WANG Ruxin;NIE Lei;TAN Yuyan(China Railway Siyuan Survey&Design Group Co.,Ltd.,Wuhan 430063,China;Beijing Jiaotong University,Beijing 100044,China)
出处
《高速铁路技术》
2026年第2期1-10,共10页
High Speed Railway Technology
基金
国家自然科学基金资助项目(52002017)
中央引导地方科技发展资金项目(25ZYA015)
国家铁路局科研课题(KFJF2024-026)
中国国家铁路集团有限公司科技研究开发计划课题(N2023X017)
中国铁建股份有限公司科研计划课题(2023-B13)
中铁第四勘察设计院集团有限公司科技研究开发计划课题(KY2025002S、KY2024105E)。
关键词
高速铁路
通过能力
影响因素
服务水平
数学模型
high-speed railways
capacity
influencing factors
service level
mathematical models
