Optimization of Skip‐Stop Train Schedule in Urban Rail Transit Under Virtual Coupling

Virtual coupling technology enables decoupling and coupling operations of trains more flexible, and the tracking interval between trains is also shortened. This paper analyzes the advantages of virtual coupling technology in the application of skip‐stop operation, and operation strategies based on real‐time train coupling and decoupling are proposed. With the goal of minimizing the total travel time of passengers, an optimization model for skip‐stop timetable under virtual coupling technology is established, which limits the virtual operation location, the number of virtual coupling and decoupling, and the relationship between virtual operation and arrival and departure status of trains. At the same time, an adaptive large‐scale neighborhood search algorithm was designed for model solving. A case study of certain urban rail transit line R, which is a skip‐stop‐operated urban rail transit line, has been carried out. The model and algorithm were validated using real data from the morning peak hour, and the results show that the application of virtual coupling technology can effectively reduce the total travel time of passengers. Under the conditions of this case study, virtual coupling technology can improve service quality. In actual operation, under suitable passenger flow and line conditions, the reasonable use of virtual coupling technology to improve the skip‐stop operation mode can improve the service quality and operational efficiency of urban rail transit.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Transportation
Published
2025-01-01
DOI
https://doi.org/10.1155/atr/7897020
Citations
4
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
8.71

Funders

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

Optimization of Skip‐Stop Train Schedule in Urban Rail Transit Under Virtual Coupling

Qi Zhang, J. Z. Bai
4 citations
Journal of Advanced Transportation
Transportation Planning and Optimization
8.71
article

Optimization of Skip‐Stop Train Schedule in Urban Rail Transit Under Virtual Coupling

Qi Zhang, J. Z. Bai
article en
4 citations

Abstract

Virtual coupling technology enables decoupling and coupling operations of trains more flexible, and the tracking interval between trains is also shortened. This paper analyzes the advantages of virtual coupling technology in the application of skip‐stop operation, and operation strategies based on real‐time train coupling and decoupling are proposed. With the goal of minimizing the total travel time of passengers, an optimization model for skip‐stop timetable under virtual coupling technology is established, which limits the virtual operation location, the number of virtual coupling and decoupling, and the relationship between virtual operation and arrival and departure status of trains. At the same time, an adaptive large‐scale neighborhood search algorithm was designed for model solving. A case study of certain urban rail transit line R, which is a skip‐stop‐operated urban rail transit line, has been carried out. The model and algorithm were validated using real data from the morning peak hour, and the results show that the application of virtual coupling technology can effectively reduce the total travel time of passengers. Under the conditions of this case study, virtual coupling technology can improve service quality. In actual operation, under suitable passenger flow and line conditions, the reasonable use of virtual coupling technology to improve the skip‐stop operation mode can improve the service quality and operational efficiency of urban rail transit.

Journal of Advanced TransportationVol. 2025(1)
Beijing Jiaotong University (CN), China Railway Corporation (CN)
Beijing Municipal Natural Science Foundation, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 3%
Transportation Planning and Optimization
8.71
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.

Optimization of Skip‐Stop Train Schedule in Urban Rail Transit Under Virtual Coupling — Qi Zhang, J. Z. Bai · Journal of Advanced Transportation (2025) | TGRS Research Map | TGRS