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作 者:袁野 薛锋[1,2] YUAN Ye;XUE Feng(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Chengdu 610031,China;Graduate school of Tangshan,Southwest Jiaotong University,Tangshan 063000,China)
机构地区:[1]西南交通大学,交通运输与物流学院,成都610031 [2]综合交通运输智能化国家地方联合工程实验室,成都610031 [3]西南交通大学,唐山研究生院,河北唐山063000
出 处:《交通运输工程与信息学报》2018年第4期18-27,共10页Journal of Transportation Engineering and Information
基 金:国家自然科学基金项目(61203175,61403022);中央高校基本科研业务费专项资金项目(2682013CX068,2682016CX118)
摘 要:为提高编组站运营效率、保证路网畅通,从编组站解体-编组系统堵塞现象出发,在空间与时间上对其堵塞程度进行研究。结合ICP算法思想,在二维空间对编组站负荷变化曲线进行分析,计算各子系统延误时间,并通过服务机构可休假的排队系统模型对其有效性进行验证。以重庆西编组站为例进行堵塞分析,结果表明:在空间上,到达场、调车场、出发场间负荷变化有传递趋势;在时间上,车站系统有阶段性堵塞现象,各子系统的负荷程度较高,车辆在进行技术作业的过程中延误时间较长,不利于铁路运营组织的持续发展。该方法的提出,为编组站堵塞现象的研究提供借鉴与参考。In order to improve the operation efficiency of the marshaling station and ensure a smooth flow of the railway network, the congestion degree of marshaling station operating system in time and space dimensions is studied.This paper analyzes the load curve of the marshaling station based on the idea of ICP algorithm and calculates the delay time of each subsystem.The results are tested and verified based on the queuing model. The Western Chongqing marshaling station is taken as an example to analyze the congestion. The results show that the load has a changing tendency around the arriving yard, classification yard and departure yard in space, and the congestion in station is unbalanced in time. The load degree of each subsystem is high, and the delay time of each vehicle is long, which is not conducive to the sustainable development of railway operations. This proposed method provides a reference for the research of congestion in a marshaling station.
分 类 号:U291.412[交通运输工程—交通运输规划与管理]
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