交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (3): 195-203.DOI: 10.16097/j.cnki.1009-6744.2023.03.021

• 系统工程理论与方法 • 上一篇    下一篇

基于灵活编组的市域快轨时刻表优化方法研究

邰国璇a,黄友能*a,b,李春驰a,王悉a,b   

  1. 北京交通大学,a.电子信息工程学院;b.轨道交通运行控制系统国家工程研究中心,北京100044
  • 收稿日期:2023-02-22 修回日期:2023-03-27 接受日期:2023-04-10 出版日期:2023-06-25 发布日期:2023-06-23
  • 作者简介:邰国璇(1997-),男,山西太原人,博士生
  • 基金资助:
    国家自然科学基金 (62073024)

An Optimization Method of Train Scheduling for Urban Rapid Rail Transit Based on Flexible Train Composition Mode

TAI Guo-xuana, HUANG You-neng*a,b, LI Chun-chia, WANG Xia,b   

  1. a. School of Electronic and Information Engineering; b. National Engineering Research Center of Rail Transit Operation Control System, Beijing Jiaotong University, Beijing 100044, China
  • Received:2023-02-22 Revised:2023-03-27 Accepted:2023-04-10 Online:2023-06-25 Published:2023-06-23
  • Supported by:
    National Natural Science Foundation of China (62073024).

摘要: 市域快轨因具有线路里程长、运营公交化的特点,其通勤客流需求普遍存在时空分布不均衡现象。为克服周期时刻表与固定编组运营模式带来的高峰期运能紧张,平峰期运能浪费的问题,本文提出一种基于灵活编组的市域快轨时刻表优化方法。首先,详细描述了灵活编组模式下的列车运行场景。然后,以各车站的列车到发时刻与包含线路各区段列车编组类型的灵活编组方案为决策变量,以极小化乘客平均等待时间与车辆走行公里数为优化目标,构建基于灵活编组的市域快轨时刻表优化模型,并设计一种三阶段模型求解算法。最后,以某条市域快轨线路的实际数据为例进行案例分析,计算结果表明,相较于常规周期时刻表与固定编组运营模式,基于灵活编组的市域快轨列车时刻表能够减少14.80%的乘客平均等待时间以及41.09%的车辆走行公里数,是一种应对市域快轨非均衡客流需求的有效运营策略,从而验证了本文所提模型与算法的有效性。

关键词: 铁路运输, 列车时刻表优化, 三阶段求解算法, 市域快轨, 灵活编组

Abstract: The spatial-temporal distribution of passenger demand in urban rapid rail transit is generally unbalanced due to long mileage and periodic operation of mass transit. This paper proposes an optimization method of train scheduling for urban rapid rail transit based on flexible train composition mode. First, the train operation scenario based on the proposed flexible train composition mode is described. Then, an optimization model of train scheduling for urban rapid rail transit based on flexible train composition mode is established to minimize the average passenger waiting time and the car kilometers. The model takes the arrival and departure time of trains at each station and the flexible train composition plan including the selection of train types in each section of the transit line as the decision variables. And a three-phase algorithm is designed to solve the model. The actual data of an urban rapid rail transit line is taken for the case study. The results indicate that compared with the regular timetable and fixed train composition mode, the timetable based on flexible train composition mode can reduce the average passenger waiting time by 14.80% and the car kilometers by 41.09% , which has been proved to be an effective operation strategy to deal with the unbalanced passenger demand of urban rapid rail transit.

Key words: railway transportation, train scheduling optimization, three-phase solution algorithm, urban rapid rail transit, flexible train composition mode

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