Optimization Method of Flexible Train Composition Scheduling in Urban Rail Transit under Online Coupling/Decoupling Mode

被引：0
|
作者：
Li W. [1 ]
Chen S. [1 ,2 ]
Zhou J. [3 ]
Luo Q. [1 ]
He Y. [1 ]
机构：
[1] College of Urban Transportation and Logistics, Shenzhen Technology University, Guangdong, Shenzhen
[2] College of Applied Technology, Shenzhen University, Guangdong, Shenzhen
[3] Dispatching Center of Shenzhen Metro Operation Group Co., Ltd., Guangdong, Shenzhen
来源：
Zhongguo Tiedao Kexue/China Railway Science | 2024年 / 45卷 / 01期
关键词：
Flexible train composition; Online coupling/decoupling mode; Passing capacity; Train scheduling; Urban rail transit;
D O I：
10.3969/j.issn.1001-4632.2024.01.19
中图分类号：
学科分类号：
摘要：
In order to cope with the capacity waste produced by the increasing diversity and imbalance of spatio-temporal demands in passenger travel, an optimization method of flexible train composition scheduling in urban rail transit under the online coupling/decoupling mode is proposed. Firstly, the operation scenarios of trains with flexible composition under the online coupling/decoupling mode are described, in which the relationship of running interval with operational time of various tasks and turnaround capability is analyzed. Then, with the optimization goal of minimizing operating cost for the company, an optimization model for flexible train composition scheduling under the online coupling/decoupling mode is established and its algorithm is designed. Finally, an example is constructed relying on an urban rail transit line of a city to validate the effectiveness of the model and the algorithm. The results show that compared to the single train routes, long-short train routes, and multiple train composition modes, the operating cost of flexible train composition under online coupling/ decoupling operation mode can be reduced by 27. 5%, 15. 4%, and 6. 0%, respectively, and the number of train units can be decreased by 23. 8%, 15. 3%, and 4. 7%, respectively. This mode can reduce the number of train units, save train running miles, and lower operating costs for the company while guaranteeing passenger service level. Furthermore, it is expected to further leverage its advantages in the context of continuously upgrading train control technologies. Considering that online coupling/decoupling operations of train may cause certain disruptions to trunk line operations, this mode is more suitable for lines with unsaturated capacity and offpeak periods of passenger flow on saturated capacity lines. © 2024 Chinese Academy of Railway Sciences. All rights reserved.
引用
下载
收藏
页码：203 / 214
页数：11
相关论文
共 22 条
  • [1] XU Dejie, MAO Baohua, CHEN Shaokuan, Et al., Optimization of Operation Scheme for Full-Length and Short-Turn Routings Considering Operation Proportion［J］, Journal of Traffic and Transportation Engineering, 21, 2, pp. 173-186, (2021)
  • [2] CHEN Weiya, ZHANG Yong, CHEN Xin, Et al., Collaborative Full-Length and Short-Turning Plan and Joint Multi-Station Control of Passenger Flow in Urban Rail Transit ［J］, Journal of Transportation Systems Engineering and Information Technology, 19, 5, pp. 177-184, (2019)
  • [3] JIA Bin, ZHU Ling, LI Shukai, Et al., Collaborative Optimization Strategy of Short-Turning Plan and Passenger Flow Control in Urban Rail Transit［J］, Journal of Transportation Systems Engineering and Information Technology, 22, 1, pp. 124-132, (2022)
  • [4] YANG R X, ZHANG Q，, Et al., Integrated Optimization of Train Route Plan and Timetable with Dynamic Demand for the Urban Rail Transit Line［J］, Transportmetrica B：Transport Dynamics, 11, 1, pp. 93-126, (2023)
  • [5] WANG Xuegui, Comprehensive Benefit Analysis on Operation Organization of Reconnection Marshalling for Subway［J］, Railway Transport and Economy, 44, 10, pp. 112-119, (2022)
  • [6] BORRELLI F., A Model Predictive Control Approach for Virtual Coupling in Railways［J］, IEEE Transactions on Intelligent Transportation Systems, 20, 7, pp. 2728-2739, (2019)
  • [7] WANG L Y., Optimization of Train Operation Planning with Full-Length and Short-Turn Routes of Virtual Coupling Trains［J］, Applied Sciences, 12, 15, (2022)
  • [8] ZHANG J M., Simulation-Based Schedule Optimization for Virtual Coupling-Enabled Rail Transit Services with Multiagent Technique［J］, Journal of Advanced Transportation, 2023, pp. 1-21, (2023)
  • [9] ZHANG Q H, WANG H F，, ZHANG Y，, Et al., An Adaptive Safety Control Approach for Virtual Coupling System with Model Parametric Uncertainties［J］, Transportation Research Part C：Emerging Technologies, 154, (2023)
  • [10] LEI Xiaoyu, YANG Guofei, YI Chenyang, Et al., Discussion on Flexible Formation of Rail Transit and Its Characteristics of Combined Transport Organization［J］, Railway Transport and Economy, 37, 9, pp. 64-69, (2015)
123