Abstract
This paper studies the method of applying big data technology to the analysis of train delay in train diagram. The actual data of train operation is obtained based on field collection, which formed data warehouse by data cleaning, data integration and other preprocessing techniques, then we compare it with the basic train diagram. According to different types of train delays, this paper proposes methods to identify the areas self-delay or aftereffect-delay occurred, evaluate redundant capability of station and interval, analyze relationship between train delay and stop time in station or and running time in interval based on big data technology and computer graphic technology.
This research was supported by the National Natural Science Foundation of China (Project No. 61403317, 61703351), National Key Research and Development Program of China (2017YFB1200702, 2016YFC0802208), Science and Technology Plan of Sichuan province (Project NO. 2017ZR0149,2017RZ0007), and Science and Technology Plan of China Railway Corporation (Project No.: 2016X006-D), and the Fundamental Research Funds for the Central Universities (2682017ZDPY04, 2682017CX022, 2682017CX018).
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Zhang, Y., Li, W., Ni, S., Liu, X. (2018). Research on Train Delay Diagnosis in Train Diagram Based on Big Data Technology. In: Pan, JS., Wu, TY., Zhao, Y., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2017. Smart Innovation, Systems and Technologies, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-319-70730-3_14
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DOI: https://doi.org/10.1007/978-3-319-70730-3_14
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