Optimization of Single-Track Train Schedules with Cyclic Operation Strategies

Xing Wu; Deyu Gao; Junfeng Yao; Quan Qian; Jun Song

doi:10.3233/FAIA250522

Optimization of Single-Track Train Schedules with Cyclic Operation Strategies

Xing Wu^*
, Deyu Gao
, Junfeng Yao
, Quan Qian
, Jun Song^*

^*Corresponding author for this work

Academy of Geography, Sociology and International Studies

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

This paper proposes an integrated mixed-integer programming model, termed the Single-Track Railway Cyclic Scheduling Model (SRCSM), for constructing optimized periodic timetables (operating on a recurring 24-hour cycle) for bidirectional single-track railway systems. The SRCSM enhances operational efficiency by precisely considering train arrival/departure times, safety headways, platform track allocations, and meet/pass operations. Validation using real-world data demonstrates its practical applicability, flexibility, and scalability for dynamic timetable optimization, offering a robust tool for improving operational efficiency and safety in single-track railway operations.

Original language	English
Title of host publication	Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_25)
Editors	Hamido Fujita, Andres Hernandez-Matamoros, Yutaka Watanobe
Publisher	IOS Press BV
Pages	197-206
Number of pages	10
ISBN (Electronic)	9781643686196
DOIs	https://doi.org/10.3233/FAIA250522
Publication status	Published - 16 Sept 2025
Event	24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2025 - Kitakyushu, Japan Duration: 23 Sept 2025 → 26 Sept 2025 https://ebooks.iospress.nl/volume/new-trends-in-intelligent-software-methodologies-tools-and-techniques-SoMeT_25 (Conference proceedings)

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	411
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2025
Country/Territory	Japan
City	Kitakyushu
Period	23/09/25 → 26/09/25
Internet address	https://ebooks.iospress.nl/volume/new-trends-in-intelligent-software-methodologies-tools-and-techniques-SoMeT_25 (Conference proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

User-Defined Keywords

cyclic timetable
operational efficiency
optimization model
railway scheduling
Single-track railway

Access to Document

10.3233/FAIA250522

Cite this

Wu, X., Gao, D., Yao, J., Qian, Q., & Song, J. (2025). Optimization of Single-Track Train Schedules with Cyclic Operation Strategies. In H. Fujita, A. Hernandez-Matamoros, & Y. Watanobe (Eds.), Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_25) (pp. 197-206). (Frontiers in Artificial Intelligence and Applications; Vol. 411). IOS Press BV. https://doi.org/10.3233/FAIA250522

Wu, Xing ; Gao, Deyu ; Yao, Junfeng et al. / Optimization of Single-Track Train Schedules with Cyclic Operation Strategies. Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_25). editor / Hamido Fujita ; Andres Hernandez-Matamoros ; Yutaka Watanobe. IOS Press BV, 2025. pp. 197-206 (Frontiers in Artificial Intelligence and Applications).

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abstract = "This paper proposes an integrated mixed-integer programming model, termed the Single-Track Railway Cyclic Scheduling Model (SRCSM), for constructing optimized periodic timetables (operating on a recurring 24-hour cycle) for bidirectional single-track railway systems. The SRCSM enhances operational efficiency by precisely considering train arrival/departure times, safety headways, platform track allocations, and meet/pass operations. Validation using real-world data demonstrates its practical applicability, flexibility, and scalability for dynamic timetable optimization, offering a robust tool for improving operational efficiency and safety in single-track railway operations.",

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booktitle = "Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT\_25)",

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Wu, X, Gao, D, Yao, J, Qian, Q & Song, J 2025, Optimization of Single-Track Train Schedules with Cyclic Operation Strategies. in H Fujita, A Hernandez-Matamoros & Y Watanobe (eds), Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_25). Frontiers in Artificial Intelligence and Applications, vol. 411, IOS Press BV, pp. 197-206, 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2025, Kitakyushu, Japan, 23/09/25. https://doi.org/10.3233/FAIA250522

Optimization of Single-Track Train Schedules with Cyclic Operation Strategies. / Wu, Xing; Gao, Deyu; Yao, Junfeng et al.
Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_25). ed. / Hamido Fujita; Andres Hernandez-Matamoros; Yutaka Watanobe. IOS Press BV, 2025. p. 197-206 (Frontiers in Artificial Intelligence and Applications; Vol. 411).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Gao, Deyu

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AU - Song, Jun

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N2 - This paper proposes an integrated mixed-integer programming model, termed the Single-Track Railway Cyclic Scheduling Model (SRCSM), for constructing optimized periodic timetables (operating on a recurring 24-hour cycle) for bidirectional single-track railway systems. The SRCSM enhances operational efficiency by precisely considering train arrival/departure times, safety headways, platform track allocations, and meet/pass operations. Validation using real-world data demonstrates its practical applicability, flexibility, and scalability for dynamic timetable optimization, offering a robust tool for improving operational efficiency and safety in single-track railway operations.

AB - This paper proposes an integrated mixed-integer programming model, termed the Single-Track Railway Cyclic Scheduling Model (SRCSM), for constructing optimized periodic timetables (operating on a recurring 24-hour cycle) for bidirectional single-track railway systems. The SRCSM enhances operational efficiency by precisely considering train arrival/departure times, safety headways, platform track allocations, and meet/pass operations. Validation using real-world data demonstrates its practical applicability, flexibility, and scalability for dynamic timetable optimization, offering a robust tool for improving operational efficiency and safety in single-track railway operations.

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KW - optimization model

KW - railway scheduling

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BT - Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_25)

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Wu X, Gao D, Yao J, Qian Q, Song J. Optimization of Single-Track Train Schedules with Cyclic Operation Strategies. In Fujita H, Hernandez-Matamoros A, Watanobe Y, editors, Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_25). IOS Press BV. 2025. p. 197-206. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA250522

Optimization of Single-Track Train Schedules with Cyclic Operation Strategies

Abstract

Publication series

Conference

UN SDGs

User-Defined Keywords

Access to Document

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