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Solving the railway timetable rescheduling problem with graph neural networks

Ping Huang Zihuan Peng Zhongcan Li Qiyuan Peng

铁道工程科学(英文)2026,Vol.34Issue(3):385-406,22.
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铁道工程科学(英文)2026,Vol.34Issue(3):385-406,22.DOI:10.1007/s40534-025-00383-7

Solving the railway timetable rescheduling problem with graph neural networks

Solving the railway timetable rescheduling problem with graph neural networks

Ping Huang 1Zihuan Peng 2Zhongcan Li 3Qiyuan Peng1

作者信息

  • 1. School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China||National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China||National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest JiaotongUniversity,Chengdu 610031,China
  • 2. School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China
  • 3. School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China||Department of Automation,Tsinghua University,Beijing 100084,China
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摘要

关键词

Timetable rescheduling/Timetable rescheduling actions/Graph neural networks/Evaluation graphs

Key words

Timetable rescheduling/Timetable rescheduling actions/Graph neural networks/Evaluation graphs

引用本文复制引用

Ping Huang,Zihuan Peng,Zhongcan Li,Qiyuan Peng..Solving the railway timetable rescheduling problem with graph neural networks[J].铁道工程科学(英文),2026,34(3):385-406,22.

基金项目

This work was supported by the National Nature Science Foundation of China(Grant numbers:72301221 and 72401158),the National Key Research and Development Program of China(Grant number:2022YFB4300502),and the China Postdoctoral Science Foundation(Grant number:2023M741956). (Grant numbers:72301221 and 72401158)

铁道工程科学(英文)

2662-4745

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