Coordinated optimization research of train diagram and maintenance window on plateau railway

In response to the conflict between the train diagram on the plateau railway and maintenance window, a coordinated optimization of the train diagram and maintenance window for the plateau railway trains is conducted. Considering constraints such as train service level, train operation, train diagram equilibrium, and maintenance window time, a multi-objective mixed integer programming model is established to minimize the total travel time of trains and maximize the total duration of maintenance windows. A multi-objective solution algorithm based on layered sequences is designed, and Python programming is utilized to invoke the Cardinal optimizer (COPT) solver to solve the model. Taking a section of the plateau railway as a case study, the effectiveness of the model is verified. The results indicate that the proposed coordinated optimization model for the train diagram on the plateau railway and maintenance window, under the consideration of constraints such as train service level and train diagram equilibrium, can simultaneously minimize the total travel time of trains and maximize the duration of maintenance windows. The train diagram based on the optimal solution shows that the coordinated optimization results of the train diagram and the maintenance window are more in line with the actual passenger transport production operation needs of the plateau railway. The research findings provide a scientific basis for railway operation management departments to further optimize train diagram and maintenance window arrangements.

Authors

Publication Details

Journal
JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING
Published
2025-03-01
DOI
https://doi.org/10.3724/sp.j.1249.2025.02216
Primary Topic
Web Applications and Data Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coordinated optimization research of train diagram and maintenance window on plateau railway

Hong-Wang Li, Zinong Tian, Bin Liu, Zhenghong Deng et al.
JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING
Web Applications and Data Management
article

Coordinated optimization research of train diagram and maintenance window on plateau railway

Hong-Wang Li, Zinong Tian, Bin Liu, Zhenghong Deng, Aoran DONG
article en

Abstract

In response to the conflict between the train diagram on the plateau railway and maintenance window, a coordinated optimization of the train diagram and maintenance window for the plateau railway trains is conducted. Considering constraints such as train service level, train operation, train diagram equilibrium, and maintenance window time, a multi-objective mixed integer programming model is established to minimize the total travel time of trains and maximize the total duration of maintenance windows. A multi-objective solution algorithm based on layered sequences is designed, and Python programming is utilized to invoke the Cardinal optimizer (COPT) solver to solve the model. Taking a section of the plateau railway as a case study, the effectiveness of the model is verified. The results indicate that the proposed coordinated optimization model for the train diagram on the plateau railway and maintenance window, under the consideration of constraints such as train service level and train diagram equilibrium, can simultaneously minimize the total travel time of trains and maximize the duration of maintenance windows. The train diagram based on the optimal solution shows that the coordinated optimization results of the train diagram and the maintenance window are more in line with the actual passenger transport production operation needs of the plateau railway. The research findings provide a scientific basis for railway operation management departments to further optimize train diagram and maintenance window arrangements.

JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERINGVol. 42(2)
National Natural Science Foundation of China
Openalex Percentile: Top 94%
Web Applications and Data Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.