{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T03:18:25Z","timestamp":1758079105699,"version":"3.44.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686196","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,16]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/faia250522","type":"book-chapter","created":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T13:19:24Z","timestamp":1758028764000},"source":"Crossref","is-referenced-by-count":0,"title":["Optimization of Single-Track Train Schedules with Cyclic Operation Strategies"],"prefix":"10.3233","author":[{"given":"Xing","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China"},{"name":"Key Laboratory of Silicate Cultural Relics Conservation (Shanghai University), Ministry of Education, Shanghai, 200444, China"},{"name":"Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deyu","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junfeng","family":"Yao","sequence":"additional","affiliation":[{"name":"CSSC Seago System Technology Co., Ltd, Shanghai, 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Geography, Hong Kong Baptist University, Hong Kong, 999077, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","New Trends in Intelligent Software Methodologies, Tools and Techniques"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA250522","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T13:19:24Z","timestamp":1758028764000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA250522"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,16]]},"ISBN":["9781643686196"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia250522","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,16]]}}}