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编组站货车中转方式的判定算法

金福才

金福才. 编组站货车中转方式的判定算法[J]. 铁路计算机应用, 2017, 26(3): 10-13.
引用本文: 金福才. 编组站货车中转方式的判定算法[J]. 铁路计算机应用, 2017, 26(3): 10-13.
JIN Fucai. Algorithm for determing transit mode of freight car at marshalling stations[J]. Railway Computer Application, 2017, 26(3): 10-13.
Citation: JIN Fucai. Algorithm for determing transit mode of freight car at marshalling stations[J]. Railway Computer Application, 2017, 26(3): 10-13.

编组站货车中转方式的判定算法

基金项目: 中国铁路总公司科技研究开发计划项目(2016X006-D)
详细信息
    作者简介:

    金福才,高级工程师。

  • 中图分类号: U291.4∶TP39

Algorithm for determing transit mode of freight car at marshalling stations

  • 摘要: 当货车跟随列车到达编组站时,通常要进行解体和编组作业,货车中转方式的不同对于推算货车停站时间有很大影响。通过分析货物列车编组计划的主要内容,整理出直达列车数据表和直通列车数据表。在推算单个车辆时,分析该车辆走行计划中的经由编组站串,依据直达列车数据表判定此货车是否属于直达列车。对于直达货车,所经过的编组站都按无调作业处理。对于非直达的货车,依据直通列车数据表,设计判断货车经由编组站中转方式的递归判定算法。使用此方法可以快速判定货车在编组站的中转方式,从而使车流推算结果更加快速准确。
    Abstract: When the freight car follows the train to the marshalling station, it is usually necessary for the disintegration and marshalling operations. The different transit modes of freight car have a great influence on calculating the parking time. Based on the analysis of the main contents of the freight car formation plan, the data table of the direct train and the train data table are sorted out. In the calculation of a single vehicle, first of all, this paper analyzed the through marshalling station string in the vehicle routing scheme, then, according to the train data table, determined whether the train was a direct train. For a direct train, the through marshalling station was treated as non shunting operation. Based on the train data table, a recursive decision algorithm was designed to determine the transit mode of freight car passing through the marshalling station. Using this method, people could quickly determine the transit mode of freight cars in marshalling station, which made the calculation results more quickly and accurately.
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  • 期刊类型引用(1)

    1. 王雪影,王英杰,刘文斌,李聪旭. 基于矢量瓦片的铁路GIS空间分层表达技术. 铁道建筑. 2022(10): 156-160 . 百度学术

    其他类型引用(3)

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  • 被引次数: 4
出版历程
  • 收稿日期:  2016-10-12
  • 刊出日期:  2017-03-24

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