High-Speed Route Improvement Optimizer
High-Speed Route Improvement Optimizer
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DOI：
10.3141/2289-03
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发表时间：
2012-01
影响因子：
1.7
通讯作者：
Y. Lai;Po-Wen Huang
中科院分区：
文献类型：
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作者：
Y. Lai;Po-Wen Huang
升级铁路走廊以达到高速的最常见的近期方法是逐步改善。现有的基础设施或机车车辆可以通过各种方式进行改进，以提高速度并减少沿路线行驶的时间。每个轨道段都有一组提高速度的独特机会，以及它们对减少旅行时间的相应影响，以及相关的成本。同样，每种类型的铁路车辆都有提高运行速度和缩短旅行时间的潜力，对应于特定的价格标签。本研究的重点是在给定绩效目标和预算的情况下，利用数学规划方法开发决策支持过程，以确定最具成本效益的减少走廊旅行时间的策略。以台湾某铁路走廊为例进行优化，结果显示基建升级与车辆购置相结合的优化策略最优。使用该工具可以帮助各州和铁路机构同时最大化资本投资回报，并为其客户提供可靠的服务。
The most common near-term approach to upgrading railway corridors to achieve high speeds is by incremental improvement. Existing infrastructure or rolling stock can be improved in various ways to allow for increasing speeds and reducing travel time along a route. Each track section has a characteristic set of opportunities for increasing speed and their corresponding effects on travel time reduction, along with an associated set of costs. Similarly, each type of rolling stock has the potential to increase operational speed and reduce travel time, corresponding to a specific price tag. This research focuses on developing a decision support process by using mathematical programming to identify the most cost-effective strategy for reducing corridor travel time given a prescribed performance goal and budget. This optimization process was implemented in a railway corridor in Taiwan, and the result showed that the best strategy was a combination of infrastructure upgrade and rolling stock acquisition. Using this tool can help states and railway agencies simultaneously maximize capital investment returns and maintain reliable services for their customers.