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Analyzing and Evaluating Infrastructure Capacity of Railway Passenger Station by Mesoscopic Simulation Method

机译:铁路客运站基础设施容量的细观模拟分析与评价。

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This paper presents a novel mesoscopic simulation method for analyzing and calculating carrying capacity of railway passenger stations. Due to the random disturbances of train operations in station area, a simulation method that considers the random disturbances of train delays and operation time is proposed. In this paper, occupation time of each route and track is accumulated, and then resources exploitation rate and the carrying capacity of stations can be estimated. A new computer-aided tool was developed and successfully implemented for analyzing and evaluating the carrying capacity of railway passenger stations. The merits of the proposed method are illustrated through a case study on one of the largest integrated transport terminals in China to demonstrate the effectiveness and validation of the random probability method through calculations of each switch group exploitation rate and evaluation of the carrying capacity of this station.
机译:本文提出了一种新的介观模拟方法,用于分析和计算铁路客运站的承载能力。针对车站区域列车运行的随机干扰,提出了一种考虑列车延误和运行时间随机干扰的仿真方法。本文通过累加各个路径和轨道的占用时间,可以估算出资源的利用率和车站的承载能力。开发并成功实施了一种新的计算机辅助工具,用于分析和评估铁路客运站的承载能力。通过对中国最大的综合运输枢纽之一进行案例研究,说明了该方法的优点,通过计算每个开关组的利用率和评估该车站的承载能力,证明了随机概率方法的有效性和有效性。 。

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