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

Abstract: 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.

Key words: railway freight transport, transport responsibility time, responsibility guarantee rate, cloud computing, big data