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作 者:张英贵[1] 刘青意 雷定猷[1] 徐新平[1] 曾晓
机构地区:[1]中南大学交通运输工程学院,湖南长沙410075
出 处:《物流科技》2018年第3期69-73,共5页Logistics Sci-Tech
基 金:国家自然科学基金项目;基金编号:71501170;71371193
摘 要:通过分析铁路大型客运站旅客列车类型及其股道运用技术作业特征,统筹考虑列车类型、牵引性质、运行速度、作业类型等因素,构建旅客列车到发特征聚类指标体系,给出一种基于模糊C均值聚类的列车密集到发峰期确定方法,确定经停、始发、终到、通过和立折旅客列车在特定车站的密集到发程度,并提出基于近邻传播的旅客列车到发特征聚类分析方法。算例结果表明:文章所提出的方法能够合理划分旅客列车到发特征,确定列车种类及其计划编制与调整的优先级,为铁路大型客运站股道运用计划方案的实时调整提供有效的决策支持。By analyzing the characteristics of passenger trains and the technical operation of their stock trains in railway terminal,the factors such as train type, tractive property, operating speed, type of operation are taken into account to construct the passenger trains' system, this paper presents a method of determining train peak period based on fuzzy C-means clustering to determine the intensity of stopping, starting, ending, passing and folding of passenger trains at a specific station and proposes a method based on near neighbor propagation passenger train arrival feature clustering analysis. The results of the example show that the proposed method can reasonably divide passenger train arrival characteristics, determine the priority of train type and its planning and adjustment, and provide an effective method for intelligently and real-time adjustment of the plan of stockway utilization in railway passenger station.
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