一种线性编程联合优化模型,用于对高速铁路的夜间列车时间表和维护规划
Tianwei Zhang1,2, Wei Liang1,2, Hangyu Ji3,4
1School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China.
Scientific reports
|November 26, 2025
概括
本研究介绍了高速铁路 (HSR) 维护和列车调度的综合模型,优化了夜间运营. 开发的模型平衡了火车时间表与必要的维护计划,以提高效率.
科学领域:
- 运营研究 运营研究
- 运输工程 运输工程
- 铁路系统 铁路系统
背景情况:
- 高速铁路 (HSR) 维护对于运营完整性至关重要.
- 夜间维护时间表与夜间列车运行发生冲突.
- 现有的规划方法往往无法整合列车时间表和维护.
研究的目的:
- 开发一个综合优化模型,用于联合列车时间表和维护规划HSR.
- 为了解决夜间列车运行和计划维护活动之间的冲突.
- 为实际HSR维护和调度提出一个高效的解决方案算法.
主要方法:
- 使用线性化技术 (Big-M,二进制状态变量) 制定混合整数线性编程模型.
- 较量和选择最低维护单元 (电源部分和电站部分).
- 通过省略站轨限制来管理计算复杂性的有效解决方案算法的开发.
主要成果:
- 拟议的模型成功地整合了火车运行和维护规划的约束.
- 对夜间列车和维护计划的目标函数的规范化确保了平衡的优化.
- 一个高效的算法被开发和验证,使用来自北京西 - 广州南高压回流线的真实数据.
结论:
- 综合优化模型为联合HSR列车时间表和维护规划提供了有效的解决方案.
- 开发的高效算法解决了计算方面的挑战,使该模型适用于现实世界的应用.
- 这项研究有助于通过优化一夜计划来提高HSR系统的运营效率和完整性.
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