中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway

文献类型:期刊论文

作者Wang, Rui1; Zhou, Min1; Wang, Hongwei1; Yang, Bo2; Dong, Hairong1; Wang, Fei-Yue3,4
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期2024-04-16
页码11
关键词Rail transportation Delays Mathematical models Schedules Interference Dispatching Optimization Crew operation interference passenger-freight collinear railway rolling horizon algorithm train operation adjustment
ISSN号2329-924X
DOI10.1109/TCSS.2024.3379214
通讯作者Zhou, Min(zhmin@bjtu.edu.cn)
英文摘要On a passenger-freight collinear railway, the freight train operation level is comparatively low, frequently resulting in significant deviations from the original timetable and crew plan in the presence of various interferences. This article focuses on the problem of coordinated rescheduling of train timetable and crew scheme in the presence of disruptions on a double-track passenger-freight collinear railway. We develop a mixed-integer linear program (MILP) model considering the distinct priorities of passenger and freight trains, as well as crew operations, thereby surpassing the current practice of independently adjusting train timetable and crew plan to achieve a collaborative solution. The objective is to minimize delays for passenger trains and deviations in crew schedule, while maximizing the delivery rate of freight trains at railway Bureau boundary stations prior to the settlement time. Furthermore, for large-scale delays, we design a solution algorithm based on the rolling horizon approach to enhance computational efficiency. To validate the effectiveness of the proposed model, simulation experiments are conducted using actual running data from the Beijing-Shanghai railway. The experimental results illustrate that our coordinated model enhances the feasibility of adjustment outcomes during emergencies, in contrast to the model that neglects crew connections. Additionally, our proposed algorithm guarantees a solving error of under 5% and reduces solving time by over 60% compared with the results obtained by CPLEX. Moreover, three additional comparison experiments are conducted to further demonstrate the impact of crew activities on train operation adjustments, which also indicate that our approach can provide dispatchers with more feasible train operation adjustment schemes in terms of crew utilization.
资助项目National Natural Science Foundation of China[61925302] ; National Natural Science Foundation of China[62327806] ; National Natural Science Foundation of China[U2368204]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001205841700001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/58278]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Zhou, Min
作者单位1.Beijing Jiaotong Univ, Sch Automat & Intelligence, Beijing 100044, Peoples R China
2.China Railway Beijing Grp Co Ltd, Dept Dispatching, Beijing 100038, Peoples R China
3.Chinese Acad Sci, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Wang, Rui,Zhou, Min,Wang, Hongwei,et al. Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2024:11.
APA Wang, Rui,Zhou, Min,Wang, Hongwei,Yang, Bo,Dong, Hairong,&Wang, Fei-Yue.(2024).Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,11.
MLA Wang, Rui,et al."Coordinated Rescheduling of Train Timetable and Crew Scheme for Passenger-Freight Collinear Railway".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2024):11.

入库方式: OAI收割

来源:自动化研究所

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