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A multi-level framework for generating train schedules in highly utilised networks

机译:用于在高度利用的网络中生成火车时刻表的多级框架

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摘要

This paper proposes a comprehensive multi-level framework for railway scheduling, which starts with a high-level commercial description of intended train services and aims to generates a conflict-free detailed schedule as the final outcome. The approach consists of three description levels and corresponding interfaces that enable a structured decomposition of the scheduling problem into sub-problems of manageable size. The starting point is a formal structure for describing the service intention including periodicity information. As typical timetables are neither entirely periodic nor aperiodic, a projection scheme is used to create an augmented periodic problem. This augmented periodic timetabling problem is solved first globally on an aggregated topology and simplified safety model, and subsequently refined locally by considering all details of the infrastructure and train dynamics. In particular, a new model is used that solves the local problem in station areas more efficiently and faster than previous model, which is crucial for the interaction of the different levels. Finally, the generated periodic conflict-free schedule is rolled out over the complete day to create a production plan fulfilling all requirements specified in the service intention. The presented approach is finally tested and illustrated on a real-world case study for the train services currently in place in the Lucerne region, a highly utilised part of railway network in central Switzerland. There, it is possible to perform the complete procedure in less than 10 minutes. The generated solution is optimal in each step of the multi-level approach and has a comparable quality with the operated schedule.
机译:本文提出了一个全面的铁路调度多层次框架,该框架从对预期火车服务的高级商业描述开始,旨在生成无冲突的详细时间表作为最终结果。该方法包括三个描述级别和相应的接口,这些接口可以将调度问题结构化分解为可管理大小的子问题。起点是用于描述包括周期性信息的服务意图的形式结构。由于典型的时间表既不完全是周期性的,也不是非周期性的,所以使用投影方案来创建一个增强的周期性问题。首先,通过聚合拓扑和简化的安全模型全局解决此扩展的周期性时间表问题,然后通过考虑基础结构和列车动态的所有细节在本地进行优化。特别是,使用了一种新模型,该模型比以前的模型更有效,更快地解决了车站区域的局部问题,这对于不同级别的交互至关重要。最后,将生成的定期无冲突计划在一天中推出,以创建满足服务意图中指定的所有需求的生产计划。最后,将对所提出的方法进行测试,并在卢塞恩地区(瑞士中部铁路网中利用率很高的一部分)目前正在使用的火车服务的实际案例研究中进行说明。在那里,可以在不到10分钟的时间内完成整个过程。生成的解决方案在多层次方法的每个步骤中都是最佳的,并且质量与操作时间表可比。

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