【摘要】：春節(jié)期間由于大量的消費(fèi)品被消耗,且由于冬季氣候原因需要輸送大量煤炭、石油等能源物資,因此春運(yùn)不僅僅是大規(guī)模旅客的輸送,同時也需完成大量的貨物運(yùn)輸組織工作。鐵路系統(tǒng)在春運(yùn)期間增加了大量臨時旅客列車來保障旅客出行,而旅客列車對線路通過能力的占用是比較大的,其會影響貨物列車的正常運(yùn)行。 本文通過研究春運(yùn)期間鐵路運(yùn)輸?shù)奶攸c(diǎn),分析了加開臨時旅客列車對線路通過能力和貨物列車在站停車時間的影響。通過研究列車運(yùn)行間隔時間的分布——愛爾朗分布,發(fā)現(xiàn)線路的通過能力越緊張其分布越具規(guī)律性。因此以不同車組列車平均間隔時間為基礎(chǔ),引用排隊模型的計算方法,進(jìn)而得到列車在站基本停留時間。本文還對列車晚點(diǎn)傳播理論進(jìn)行改進(jìn),得到了列車發(fā)生晚點(diǎn)情況時列車在站停留時間計算方法。對編組站等技術(shù)站進(jìn)行研究,分析發(fā)現(xiàn)列車在編組站的停留時間延長主要是由于等待作業(yè)時間造成的,對其停留時間也可進(jìn)行計算。 本文以智能動態(tài)車流預(yù)測為技術(shù)基礎(chǔ)及框架,通過整合列車在站停留時間和列車在區(qū)間運(yùn)行的時間推算得到貨物在整個運(yùn)輸過程中的時間消耗。由于鐵路信息系統(tǒng)不與互聯(lián)網(wǎng)相聯(lián),本文給出通過將數(shù)據(jù)打包至專有服務(wù)器進(jìn)行發(fā)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.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：U294.1

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 呂雪;基于MATLAB的網(wǎng)絡(luò)排隊仿真[D];大連海事大學(xué);2013年

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本文編號：2376135