基于大数据的货物运输责任时间划分方法研究  

Study on the division method of railway freight transport responsibility time based on big data

作　　者：侯吉 宋瑞[1] 何世伟[1] 殷玮川 HOU Ji;SONG Rui;HE Shi-wei;YIN Wei-chuan(Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China)

机构地区：[1]北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室,北京100044

出　　处：《山东科学》2019年第2期59-69,共11页Shandong Science

基　　金：国家重点研发计划(2018YFB1201402)

摘　　要：通过对铁路货物运输过程及其影响因素的分析,指出了现有货物运输过程各环节时间的分配方法存在的不足。提出基于大数据的货物运输责任时间划分方法,借助云计算平台在大数据处理方面的优势,设计了货物运输大数据分析方法和步骤;提出货物运输责任时间和责任保障率的概念及计算方法,以实现对货物运输全程各环节作业的效率进行动态考核和评价。以京广线上衡阳北—大朗运输区段的实际数据为算例,与传统计算方法进行对比,验证了本文所提出的方法具有更好的可适性和应用前景。Based on the analysis of railway freight transport process and the influence factors on the process, this paper pointed out the deficiencies of the existing methods of time distribution in each link of freight transport process. A method of railway freight transit responsibilities time division based on big data was put forward, and with the advantage of cloud computing platform in large data processing, the methods and procedures to deal with big data that produced in the railway freight transit were also designed. The concept and calculation method of freight transport responsibility time and responsibility guarantee rate were proposed in order to realize dynamic assessment and evaluation of the efficiency of all links in the whole process of freight transportation. Finally, a case study was carried out based on the actual data of Beijing-Guangzhou line, between Hengyang North station and Dalang station, and by comparing with the traditional calculation method, the applicability and application prospect of the proposed method were verified.

关 键 词：铁路货物运输 运输责任时间 责任保障率 云计算 大数据 

分 类 号：U294.1[交通运输工程—交通运输规划与管理]