Rapid Creation of Optimised Train Timetables Rail Demonstrations

快速创建优化的列车时刻表 铁路演示

• 批准号: 10089519
• 金额: $ 27.82万
• 依托单位: CFMS SERVICES LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10089519
• 关键词: Rapid; Creation; Optimised; Train; Timetables

CFMS is proposing to deliver and demonstrate a unique tool for rapidly optimising train timetables during extreme weather events, delivering a step change in the way in which train operating companies respond to the increasing occurrence of extreme weather. The project will collaborate with GWR & Avanti West Coast to develop, evaluate and demonstrate the benefits of the tool.When extreme weather such as heat waves or heavy rain and flooding are forecast, temporary speed restrictions and line closures are imposed on parts of the network, typically with a few days' notice. This leaves planning teams only 24 to 48 hours to adjust timetables, putting a strain on resources leading to the creation of sub-optimal timetables, resulting in a reduction in service and financial penalty payments being incurred.CFMS proposes utilising parallel, distributed optimisation techniques coupled with high performance compute systems to perform automated timetable optimisation. This will use CFMS's robust timetable optimisation technology developed and validated on representative data on several projects including in the rail sector. The tool will run a very large number of possible timetables in parallel using high performance compute facilities allowing an optimal set of timetables prioritising different goals to be determined. An API will be developed to allow easy use of the tool and integration with other systems.The tool will be developed with close collaboration with train operating companies, including GWR & Avanti. Using real data it will evaluate and demonstrate to a wide reaching audience the transformational efficiency, performance improvements and large scale savings that the tool is capable of delivering for the rail sector.

CFMS计划交付并展示一种独特的工具，用于在极端天气事件期间快速优化列车时刻表，从而使列车运营公司应对日益严重的极端天气的方式发生重大变化。该项目将与GWR和阿凡提西海岸合作开发、评估和演示该工具的好处。当预报到热浪、暴雨和洪水等极端天气时，临时限速和线路关闭将在部分网络上实施，通常需要提前几天通知。这使得计划团队只有24到48小时来调整时间表，这给资源带来了压力，导致创建次优时间表，从而减少了服务和经济损失。CFMS建议使用并行、分布式优化技术和高性能计算系统来执行自动时间表优化。这将使用CFMS开发的强大的时间表优化技术，并在包括铁路部门在内的几个项目的代表性数据上进行验证。该工具将使用高性能计算设施并行运行大量可能的时间表，从而确定确定不同目标优先次序的最佳时间表集。将开发一个API，以便于使用该工具并与其他系统集成。该工具将与包括GWR和Avanti在内的列车运营公司密切合作开发。它将使用真实数据评估并向广大受众展示该工具能够为铁路部门带来的转型效率、性能改进和大规模节省。