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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research on Train Delay Diagnosis in Train Diagram Based on Big Data Technology


    Contributors:
    Zhang, Yong (author) / Li, Wenqing (author) / Ni, Shaoquan (author) / Liu, Xiaowei (author)


    Publication date :

    2017-11-03


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Solving the Train Delay Problem with the Periodic Train Diagram

    Bao, J. / Xin, L. / Tang, Z. et al. | British Library Conference Proceedings | 2009


    Solving the Train Delay Problem with the Periodic Train Diagram

    Bao, Jingjing / Xin, Ling / Tang, Zihan et al. | ASCE | 2009


    TRAIN DIAGRAM SIMULATION DEVICE, TRAIN DIAGRAM SIMULATION METHOD AND TRAIN DIAGRAM SIMULATION PROGRAM

    HIROTA ATSUSHI / HATAYAMA GORO | European Patent Office | 2023

    Free access

    TRAIN DIAGRAM CREATION SYSTEM, TRAIN DIAGRAM CREATION DEVICE AND TRAIN DIAGRAM CREATION METHOD

    YASUMOTO MASAHIRO / HORI SATORU / SHIMURA AKITOSHI | European Patent Office | 2015

    Free access

    Method and system for controlling train delay propagation in railway network based on train diagram

    ZHOU XIAOZHAO / ZHANG TAO / ZHANG QI et al. | European Patent Office | 2021

    Free access