CASIA OpenIR  > 多模态人工智能系统全国重点实验室
ADMM-based joint rescheduling method for high-speed railway timetabling and platforming in case of uncertain perturbation ✩
Liu, Xuan1; Zhou, Min1; Dong, Hairong1; Wu, Xingtang1; Li, Yidong2; Wang, Fei-Yue3
Source PublicationTRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
ISSN0968-090X
2023-07-01
Volume152Pages:27
Corresponding AuthorZhou, Min(zhmin@bjtu.edu.cn)
AbstractThe operation of high-speed trains is susceptible to perturbations such as strong winds and heavy snowfall, causing them to deviate from operating schedules. A joint mixed-integer linear programming (MILP) model based on the event-activity network is proposed to reschedule the train timetable and platform assignment jointly. Trains traveling in different directions are simultaneously considered in this model, and they can occupy the available reverse platforms in stations. Furthermore, to strengthen the robustness of the rescheduling scheme in case of uncertain perturbations, such as variable temporary speed restrictions caused by changing wind speed, the uncertainty is modeled using scenario-based chance constraints, which are then converted into deterministic constraints. Model predictive control (MPC) divides the entire time horizon into several stages. In each stage, the proposed model is decomposed according to directions. The constraints for trains traveling in different directions are dualized by the Alternating Direction Method of Multipliers (ADMM), which makes the sub-problems decoupled and solvable in parallel in each iteration of ADMM, promoting real-time performance. The real timetable and line data of Beijing-Shanghai HSR are utilized to investigate the effect of the proposed method. Compared to the commonly used strategies, it can significantly reduce delays and the number of affected events. The proposed method also shows relatively high robustness compared to the method in the case of predefined perturbations. It causes fewer conflicts and fewer needs for rescheduling when facing the changing perturbation and gets rescheduling results with higher quality.
KeywordTimetable rescheduling Platforming Uncertain perturbation Model predictive control Alternative direction method of multipliers
DOI10.1016/j.trc.2023.104150
WOS KeywordTIME TRAFFIC MANAGEMENT ; MODEL REFORMULATION ; TRAIN CONTROL ; OPTIMIZATION ; INTEGRATION ; ALGORITHM ; NETWORKS ; FLOW
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61925302] ; National Natural Science Foundation of China[62103033] ; Technological Research and Development Program of China Railway Corporation[P2022X013]
Funding OrganizationNational Natural Science Foundation of China ; Technological Research and Development Program of China Railway Corporation
WOS Research AreaTransportation
WOS SubjectTransportation Science & Technology
WOS IDWOS:001017358000001
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/53595
Collection多模态人工智能系统全国重点实验室
Corresponding AuthorZhou, Min
Affiliation1.Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China
2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Liu, Xuan,Zhou, Min,Dong, Hairong,et al. ADMM-based joint rescheduling method for high-speed railway timetabling and platforming in case of uncertain perturbation ✩[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,2023,152:27.
APA Liu, Xuan,Zhou, Min,Dong, Hairong,Wu, Xingtang,Li, Yidong,&Wang, Fei-Yue.(2023).ADMM-based joint rescheduling method for high-speed railway timetabling and platforming in case of uncertain perturbation ✩.TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES,152,27.
MLA Liu, Xuan,et al."ADMM-based joint rescheduling method for high-speed railway timetabling and platforming in case of uncertain perturbation ✩".TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES 152(2023):27.
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