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State-of-the-art of railway operations research

机译:铁路运营研究的最新状态

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The paper discusses the current state of research concerning the modelling of stochastic train operations in order to optimise the use of capacity by means of analytical methods and micro-simulation. Timetable quality is governed by precise running and realistic recovery times, as well as optimal headway and buffer times. Analytic (queueing) models and micro-simulation are used for estimation of waiting times, while combinatorial models and stability analysis by means of max-plus algebra technique are suitable for network timetable optimisation. Operations quality can be modeled by the estimation of (admitted) queue length and micro-simulation. A recently developed probabilistic model for the estimation of delay propagation in stations and junctions based on the stochastic variation of track occupancy times depending on conditional probability distributions of hinder by headway constraints and route conflicts is presented, while stochastic timetable optimisation may help to determine a more efficient distribution of running time margins and to increase punctuality in large networks.
机译:本文讨论了有关随机列车运行建模的研究现状,以通过分析方法和微观仿真来优化容量的使用。时间表的质量取决于精确的运行时间和实际的恢复时间,以及最佳的行进和缓冲时间。解析(排队)模型和微观仿真用于估计等待时间,而组合模型和通过max-plus代数技术进行的稳定性分析则适用于网络时间表优化。可以通过估计(允许的)队列长度和微观仿真来对操作质量进行建模。提出了一种最新开发的概率模型,该模型基于轨道占用时间的随机变化(取决于行进约束和路线冲突的障碍物的条件概率分布)来估计车站和路口的延迟传播,而随机时间表的优化可能有助于确定更多在大型网络中有效分配运行时间裕度并增加准时性。

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