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The First Optimized Railway Timetable in Practice

机译:实际中第一个优化的铁路时刻表

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A short time ago, decision support by operations research methods in railway companies was limited to operations planning (e.g., vehicle scheduling, duty scheduling, crew rostering). In effect since December 12, 2004, the 2005 timetable of the Berlin subway is based on the results of mathematical programming techniques. It is the first such service concept that has been put into daily operation. Profiting from these techniques, compared with the previous timetable, the Berlin subway today operates with a timetable that offers shorter passenger waiting times—both at stops and at transfers—and even saves one train. nnThe work is based on a well-established graph model, the periodic event-scheduling problem (PESP). This model was introduced as early as 1989. Besides describing in detail its first success story in practice, in this paper we also deepen a result on the asymptotic complexity of the PESP: we provide MAXSNP-hardness proofs of two natural optimization variants.
机译:不久前,铁路公司的运营研究方法所提供的决策支持仅限于运营计划(例如,车辆调度,值班调度,人员排班)。自2004年12月12日起生效,柏林地铁2005年的时间表基于数学编程技术的结果。这是日常运营中第一个这样的服务理念。与以前的时刻表相比,得益于这些技术,今天的柏林地铁的时刻表为乘客提供了更短的等候时间(包括车站和换乘时刻),甚至节省了一列火车。 nn这项工作基于一个完善的图形模型,即周期性事件调度问题(PESP)。该模型最早于1989年推出。除了详细描述其在实践中的第一个成功案例外,在本文中,我们还加深了PESP渐近复杂性的结果:我们提供了两个自然优化变量的MAXSNP硬度证明。

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