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在考虑对初级和二级风险的应对行动的情况下,对列车时间表进行了强有力的优化
Shirin Ramezan Ghanbari1, Behrouz Afshar-Nadjafi1, Majid Sabzehparvar2
1Department of Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
Mathematical biosciences and engineering : MBE
|July 28, 2023
概括
强大的优化解决了乘客需求和风险增加导致的火车调度不确定性. 这项研究最大限度地减少了旅行时间和未满足的需求,显示二次风险显著影响最佳规划.
科学领域:
- 运营研究 运营研究
- 运输科学 运输科学
- 优化优化 优化优化
背景情况:
- 铁路运输的快速扩张增加了乘客需求和运营风险.
- 需求的不确定性和风险影响危及精确的运输规划.
- 应对这些挑战需要对列车调度进行强有力的优化.
研究的目的:
- 开发一个强大的优化模型,用于在不确定性下列车调度.
- 为了最大限度地减少总旅行时间和不满意的乘客需求.
- 确定主要和次要风险的最佳风险应对策略.
主要方法:
- 提出了一个两阶段混合整数编程模型.
- 第一个阶段优化名义列车时间表 (时间表,站点) 以尽量减少旅行时间.
- 第二阶段采用强大的优化来最大限度地减少未得到满足的需求,并纳入风险响应行动.
主要成果:
- 强大的优化方法有效地减少了未满足的需求.
- 发现二次风险对选择最佳风险应对行动有重大影响.
- 强大的解决方案可以减少乘客不满,只需稍微增加旅行时间和停留时间.
结论:
- 强大的优化对于管理列车调度中的不确定性和风险至关重要.
- 拟议的两阶段模型为弹性列车运营提供了有效的框架.
- 考虑二次风险对于运输系统的综合风险管理至关重要.
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