虚拟编组条件下城轨列车单元灵活运用方法

doi:10.16097/j.cnki.1009-6744.2024.05.013

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (5): 140-147.DOI: 10.16097/j.cnki.1009-6744.2024.05.013

虚拟编组条件下城轨列车单元灵活运用方法

周厚盛¹，戚建国^*1，杨立兴¹，石俊刚²，张慧敏³

1. 北京交通大学，系统科学学院，北京 100044；2. 华东交通大学，交通运输工程学院，南昌 330013；3. 青岛大学，质量与标准化学院，山东青岛 266071

收稿日期:2024-05-17 修回日期:2024-07-29 接受日期:2024-08-13 出版日期:2024-10-25 发布日期:2024-10-22
作者简介:周厚盛(1996- )，男，湖南邵阳人，博士生。
基金资助:
中央高校基本科研业务费专项资金(2023YJS102)；国家自然科学基金(72371015, 72361012)。

An Optimization Method for Train Unit Flexible Scheduling Using Virtual Coupling Technology

ZHOU Housheng¹, QI Jianguo^*1, YANG Lixing¹, SHI Jungang², ZHANG Huimin³

1. School of Systems Science, Beijing Jiaotong University, Beijing 100044, China; 2. School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China; 3. College of Quality & Standardization, Qingdao University, Qingdao 266071, Shandong, China

Received:2024-05-17 Revised:2024-07-29 Accepted:2024-08-13 Online:2024-10-25 Published:2024-10-22
Supported by:
The Fundamental Research Funds for the Central Universities (2023YJS102)；National Natural Science Foundation of China (72371015, 72361012)。

摘要/Abstract

摘要： 基于虚拟编组运输组织模式，本文考虑客流时间和空间特征与列车单元实时动态编组之间的耦合关系，协调不同运营方向列车之间的虚拟联挂和虚拟摘解操作，研究虚拟编组条件下城市轨道交通列车单元灵活运用问题。具体地，将列车单元数量分配和周转衔接作为主要决策变量，以极小化总乘客等待时间和系统运营成本为目标，考虑虚拟编组列车单元分配、列车单元周转和乘客分配等约束条件，构建可用CPLEX等软件直接求解的混合整数线性规划模型。最后，以某城市轨道交通线路为例设计数值实验以验证所提方法的有效性。实验结果表明：相较于固定编组(6编组)方案，本文方法可降低约32.8%的总乘客等待时间，同时降低20.9%的系统运营成本；相较于固定编组(8编组)方案，本文方法在仅增加0.3%的总乘客等待时间情况下，降低40.7%的系统运营成本。上述实验结果表明，虚拟编组技术在提升城市轨道交通效率方面的潜在优势，且具有一定的实用价值。

关键词: 铁路运输, 列车单元灵活运用, 混合整数线性规划, 虚拟编组

Abstract: This study deals with the optimization problem of flexible scheduling of train units using virtual coupling technology. It investigates the intricate relationship between the temporal and spatial characteristics of passenger flow and the real-time dynamic marshalling of train units using virtual coupling technology. It also aims to coordinate the virtual coupling and virtual decoupling operations between the train operating in different directions. The model incorporates constraints related to train unit allocation using virtual coupling technology, train unit circulation, and passenger assignment. To address this optimization problem, a mixed integer linear programming model is formulated, which can be solved directly by the commercial solver (such as CPLEX). Finally, several numerical experiments are conducted based on real data from a specific city to validate the efficiency of the proposed method. The experimental results show that compared to a fixed train composition model with 6 carriages, the proposed method exhibits a significant reduction of 32.8% in total passenger waiting time and a simultaneous reduction of 20.9% in system operating cost. In addition, compared to a fixed train composition model with 8 carriages, the method shows a slight increase in total passenger waiting time (i.e., 0.3%) while achieving a significant reduction in system operating cost (i.e., 40.7% ). These numerical experiments demonstrate the potential benefits of virtual coupling technology in improving the efficiency of urban rail transit, which have tangible practical implications.

Key words: railway transportation, train unit flexible scheduling, mixed-integer linear programming, virtue coupling technology

中图分类号:

U268.6

周厚盛, 戚建国, 杨立兴, 石俊刚, 张慧敏. 虚拟编组条件下城轨列车单元灵活运用方法[J]. 交通运输系统工程与信息, 2024, 24(5): 140-147.

ZHOU Housheng, QI Jianguo, YANG Lixing, SHI Jungang, ZHANG Huimin. An Optimization Method for Train Unit Flexible Scheduling Using Virtual Coupling Technology[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(5): 140-147.

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参考文献

[1] BOCK U, VARCHMIN J. Enhancement of the occupancy of railroads using "virtually coupled train formations"[C]. Tokyo: World Congress on Railway Research, 1999.

[2] 唐涛, 罗啸林, 刘宏杰, 等. 城轨列车虚拟编组安全防护与运行控制技术研究进展[J]. 科技导报, 2023, 41 (10): 31- 42. [TANG T, LUO X L, LIU H J, et al. Research review of the protection and operation technology for virtually coupled train sets in metros[J]. Science & Technology Review, 2023, 41(10): 31-42.]

[3] 肖李蔚宁, 柏赟, 付昌友, 等. 基于虚拟编组技术的列车运行状态转换方案研究[J]. 铁道标准设计, 2023, 67 (8): 16-23. [XIAOLI W N, BAl Y, FU C Y, et al. Research on train running state transition scheme based on virtual coupling technology[J]. Railway Standard Design, 2023, 67(8): 16-23.]

[4] 张英贵, 赵明慧, 张云丽. 面向虚拟连挂的城轨列车群组追踪运行仿真研究[J]. 交通运输系统工程与信息, 2024, 24(1): 199-209. [ZHANG Y G, ZHAO M H, ZHANG Y L. Simulation research on train group tracking operation with virtual coupling for urban mass rail transit[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(1):199-209.]

[5] 金波, 郭佑星, 王青元, 等. 考虑大小交路的时刻表与车底运用计划一体化编制方法[J]. 中国铁道科学, 2022, 43(3): 173-181. [JIN B, GUO Y X, WANG Q Y, et al. Integrated scheduling method of timetable and rolling stock assignment scheme considering long and short routing[J]. China Railway Science, 2022, 43(3): 173-181.]

[6] 姚宇, 朱晓宁, 康柳江, 等. 城市轨道交通列车时刻表与车底运用整合优化模型[J]. 交通运输系统工程与信息, 2018, 18(1): 200-206. [YAO Y, ZHU X N, KANG L J, et al. An integrated optimization model of train timetabling and rolling stock scheduling for an urban railway line[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(1): 200-206.]

[7] MO P L, D'ARIANO A, YANG L X, et al. An exact method for the integrated optimization of subway lines operation strategies with asymmetric passenger demand and operating costs[J]. Transportation Research Part B, 2021, 149: 283-321.

[8] ZHOU H S, QI J G, YANG L X, et al. Joint optimization of train timetabling and rolling stock circulation planning: A novel flexible train composition mode[J]. Transportation Research Part B, 2022; 162: 352-385.

[9] 邰国璇, 黄友能, 李春驰, 等. 基于灵活编组的市域快轨时刻表优化方法研究[J]. 交通运输系统工程与信息, 2023, 23(3): 195-203. [TAI G X, HUANG Y N, LI C C, et al. An optimization method of train scheduling for urban rapid rail transit based on flexible train composition mode[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(3): 195-203.]

[10] YANG L, GAO Y, D'ARIANO A, et al. Integrated optimization of train timetable and train unit circulation for a Y-type urban rail transit system with flexible train composition mode[J]. Omega, 2023, 122: 102968.

[11] 张鸿. 市域快速轨道交通系统制式比选分析[J]. 城市交通, 2020, 18(1): 31-35. [ZHANG H. Selection of metropolitan rapid rail transit systems[J]. Urban Transport of China, 2020, 18(1): 31-35.]

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虚拟编组条件下城轨列车单元灵活运用方法

An Optimization Method for Train Unit Flexible Scheduling Using Virtual Coupling Technology

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