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Railway Signalling & Communication Engineering ›› 2024, Vol. 21 ›› Issue (9): 66-71.DOI: 10.3969/j.issn.1673-4440.2024.09.011

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Research on Calculation Method for Train Operation Scheme of Urban Rail Transit Based on Multi-Day Passenger Flow Data Fusion

Dou Liang1,  Liu Fengbo2,  Liu Rongfeng2,  Zhao Liujie1,  Zhou Tingliang2,  Zhang Qi1,  Qian Jiang2,  Feng Yu1#br#   

  1. 1. Zhengzhou Metro Group Co., Ltd., Zhengzhou    450000, China;
    2. CASCO Signal Ltd., Shanghai    200070, China
  • Received:2023-03-13 Revised:2024-07-09 Online:2024-09-25 Published:2024-09-25

基于多日客流融合的城市轨道交通行车方案计算方法研究

窦 亮1,刘峰博2,刘荣峰2,赵留杰1,周庭梁2,张 琪1,钱 江2,冯 瑜1   

  1. 1.郑州地铁集团有限公司,郑州 450000;
    2.卡斯柯信号有限公司,上海 200070
  • 作者简介:窦亮(1985—),男,高级工程师,本科,主要研究方向:城市轨道交通运输,邮箱:douliang@zzmetro.cn。
  • 基金资助:

    郑州地铁集团有限公司运营分公司科研项目(ZDKY2021B016);

    卡斯柯信号有限公司科研项目(RB.60119018)

Abstract: Through an analysis of the current situation of train operation scheme planning and formulation for urban rail transit, this paper reaches the conclusion that there is an urgent need for the operation personnel to have an assisted decision-making tool for performing analysis and making decisions as well as planning and formulating the train operation scheme by combining the passenger flow data of multiple typical days. To meet the needs of the operation personnel, it proposes a calculation method for the train operation scheme based on multi-day passenger flow data fusion, and provides a detailed design of two key algorithms in the proposed method, i.e., passenger flow data analysis, and train operation scheme classification and calculation. The pilot application shows that the calculation method for train operation scheme of urban rail transit based on multi-day passenger flow data fusion is more suitable for actual operation requirements, which greatly shortens the planning and compilation period of train operation scheme and substantially improves the compilation efficiency of train graph. 

Key words: train operation scheme, passenger flow data analysis, train headway, train operation ratio, train graph

摘要: 通过对城市轨道交通行车方案规划制定现状分析,得出结合多个特征日客流数据进行分析决策、规划制定行车方案的辅助决策工具是当前运营人员的迫切需求。为满足运营人员需求,提出基于多日客流融合的城市轨道交通行车方案计算方法,并对方法中的客流数据分析和行车方案分类计算两个关键算法进行详细设计。经试点应用,采用基于多日客流融合的城市轨道交通行车方案计算方法更贴合运营实际需求,并缩短行车方案规划编制周期,提升运行图编制效率。

关键词: 行车方案, 客流数据分析, 行车间隔, 开行比例, 列车运行图

CLC Number: