Rapid Creation of Optimised Train Timetables Rail Demonstrations

CFMS提议提供并展示一种独特的工具，用于在极端天气事件中快速优化列车时刻表，为列车运营公司应对日益频繁的极端天气的方式提供一个步骤。该项目将与GWR & Avanti West Coast合作开发、评估和展示该工具的优势。当天气预报出现极端天气，如热浪或暴雨和洪水时，部分网络会实施临时限速和线路关闭，通常会提前几天通知。这使得规划小组只有24至48小时来调整时间表，对资源造成压力，导致制定次优时间表，从而减少了所发生的服务和财务罚款。CFMS建议利用并行、分布式优化技术与高性能计算系统相结合来执行自动化时间表优化。这将使用CFMS强大的时间表优化技术，该技术在包括铁路部门在内的多个项目的代表性数据上得到了开发和验证。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，从而确定优先考虑不同目标的最优时间表集。将开发API以方便使用该工具并与其他系统集成。该工具将与GWR和Avanti等列车运营公司密切合作开发。使用真实数据，它将评估并向广泛的受众展示该工具能够为铁路部门带来的转型效率、绩效改进和大规模节约。

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.