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Automatic generation of railway timetables based on a mesoscopic infrastructure model

机译:基于介观基础结构模型的铁路时刻表自动生成

摘要

This paper presents a large-scale application of a heuristic timetabling algorithm on a mesoscopic description of the railway network infrastructures.udWe consider a mesoscopic model as it allows a significantly higher accuracy compared to the macroscopic models used in many scientific works. Specifically our mesoscopic model allows an estimation of the headway times and of the conflicts on lines and stations as well as a calculation of running times and time-losses performed with the same detail enabled by simulation models. In addition, in order to maximize the accuracy in the definition of the timetable, various parameters can be defined for each train, including the buffer times, the priority and the allowances.udThe model is applied to the rail network of the North-East of Italy. It is tested under different demand conditions, for example considering an increase of the demand for freight slots or a different structure of regional services. Moreover, it is used to obtain a rough estimate of the maximum capacity for freight trains combined to fixed passenger services and the effects of infrastructure improvements.
机译:本文介绍了启发式时间表算法在铁路网络基础设施的介观描述中的大规模应用。 ud我们考虑了介观模型,因为与许多科学工作中使用的宏观模型相比,介观模型具有更高的准确性。具体而言,我们的介观模型可以估算行进时间以及线路和站点上的冲突,并可以通过模拟模型实现的相同细节来计算运行时间和时间损失。此外,为了最大程度地提高时间表的定义,可以为每列火车定义各种参数,包括缓冲时间,优先级和允许量。 ud该模型应用于东北铁路网络意大利。在不同的需求条件下进行了测试,例如考虑到货运舱位需求的增加或区域服务结构的不同。此外,它可用于获得结合固定乘客服务的货运列车的最大容量的粗略估计以及基础设施改善的效果。

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