关于春运期间铁路运输货物送达时间的推算
发布时间：2018-12-13 07:17
【摘要】：春节期间由于大量的消费品被消耗,且由于冬季气候原因需要输送大量煤炭、石油等能源物资,因此春运不仅仅是大规模旅客的输送,同时也需完成大量的货物运输组织工作。铁路系统在春运期间增加了大量临时旅客列车来保障旅客出行,而旅客列车对线路通过能力的占用是比较大的,其会影响货物列车的正常运行。 本文通过研究春运期间铁路运输的特点,分析了加开临时旅客列车对线路通过能力和货物列车在站停车时间的影响。通过研究列车运行间隔时间的分布——爱尔朗分布,发现线路的通过能力越紧张其分布越具规律性。因此以不同车组列车平均间隔时间为基础,引用排队模型的计算方法,进而得到列车在站基本停留时间。本文还对列车晚点传播理论进行改进,得到了列车发生晚点情况时列车在站停留时间计算方法。对编组站等技术站进行研究,分析发现列车在编组站的停留时间延长主要是由于等待作业时间造成的,对其停留时间也可进行计算。 本文以智能动态车流预测为技术基础及框架,通过整合列车在站停留时间和列车在区间运行的时间推算得到货物在整个运输过程中的时间消耗。由于铁路信息系统不与互联网相联,本文给出通过将数据打包至专有服务器进行发布的方法。
[Abstract]:Due to the consumption of a large number of consumer goods during the Spring Festival and the need to transport a large number of coal, petroleum and other energy materials due to the winter climate, the Spring Festival transportation is not only a large-scale transport of passengers, but also needs to complete a large number of cargo transport organizations. A large number of temporary passenger trains have been added in the railway system during the Spring Festival to protect the travel of passengers, but the passenger trains occupy a large amount of line passing capacity, which will affect the normal operation of freight trains. By studying the characteristics of railway transportation during Spring Festival transportation, this paper analyzes the influence of extra temporary passenger train on the line passing capacity and the stop time of freight train at the station. By studying the distribution of train running interval-Allan distribution, it is found that the more tight the passing capacity of the train is, the more regular the distribution is. Therefore, based on the average interval time of trains in different train groups, the calculation method of queuing model is used to obtain the basic stop time of trains at stations. In this paper, the theory of train delay propagation is improved, and the method of calculating the train staying time at the station when the train is delayed is obtained. Based on the study of technical stations such as marshalling station, it is found that the prolongation of train residence time in marshalling station is mainly caused by waiting time, and the residence time can also be calculated. On the basis of intelligent dynamic vehicle flow prediction, this paper calculates the time consumption of goods in the whole transportation process by integrating the train residence time at the station and the time of the train running in the interval. As the railway information system is not connected to the Internet, this paper presents a method of publishing the data by packaging the data to a proprietary server.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：U294.1
本文编号：2376135
[Abstract]:Due to the consumption of a large number of consumer goods during the Spring Festival and the need to transport a large number of coal, petroleum and other energy materials due to the winter climate, the Spring Festival transportation is not only a large-scale transport of passengers, but also needs to complete a large number of cargo transport organizations. A large number of temporary passenger trains have been added in the railway system during the Spring Festival to protect the travel of passengers, but the passenger trains occupy a large amount of line passing capacity, which will affect the normal operation of freight trains. By studying the characteristics of railway transportation during Spring Festival transportation, this paper analyzes the influence of extra temporary passenger train on the line passing capacity and the stop time of freight train at the station. By studying the distribution of train running interval-Allan distribution, it is found that the more tight the passing capacity of the train is, the more regular the distribution is. Therefore, based on the average interval time of trains in different train groups, the calculation method of queuing model is used to obtain the basic stop time of trains at stations. In this paper, the theory of train delay propagation is improved, and the method of calculating the train staying time at the station when the train is delayed is obtained. Based on the study of technical stations such as marshalling station, it is found that the prolongation of train residence time in marshalling station is mainly caused by waiting time, and the residence time can also be calculated. On the basis of intelligent dynamic vehicle flow prediction, this paper calculates the time consumption of goods in the whole transportation process by integrating the train residence time at the station and the time of the train running in the interval. As the railway information system is not connected to the Internet, this paper presents a method of publishing the data by packaging the data to a proprietary server.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：U294.1
【引证文献】
相关硕士学位论文 前1条
1 吕雪;基于MATLAB的网络排队仿真[D];大连海事大学;2013年
，本文编号：2376135
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