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

Mingxuan Zhong, Y. Yue, Deyi Li
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引用次数: 3

Abstract

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.
基于细观模拟方法的铁路客运站基础设施承载力分析与评价
本文提出了一种分析计算铁路客运站承载能力的细观模拟方法。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。本文通过累加各线路和轨道的占用时间,估算出各站点的资源利用率和承载能力。开发了一种新的计算机辅助工具,用于分析和评价铁路客运站的承载能力。最后,以国内某大型综合运输码头为例,通过计算各开关组利用率和评价该站的承载能力,验证了随机概率方法的有效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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