• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 56 Issue 1
Jan.  2021
Turn off MathJax
Article Contents
LUO Wenhui, CAI Fengtian, WU Chuna, XIA Hongwen, MENG Xingkai. Text-Mining Based Risk Source Identification Model for Transportation Safety[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 147-152. doi: 10.3969/j.issn.0258-2724.20200140
Citation: LUO Wenhui, CAI Fengtian, WU Chuna, XIA Hongwen, MENG Xingkai. Text-Mining Based Risk Source Identification Model for Transportation Safety[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 147-152. doi: 10.3969/j.issn.0258-2724.20200140

Text-Mining Based Risk Source Identification Model for Transportation Safety

doi: 10.3969/j.issn.0258-2724.20200140
  • Received Date: 05 Jan 2020
  • Rev Recd Date: 08 Jun 2020
  • Available Online: 15 Sep 2020
  • Publish Date: 01 Feb 2021
  • In order to solve data deficiency and excessive staff workload in the risk-source identification of road transportation safety, an automatic identification model is proposed from the angle of text mining. Firstly, the model performs feature enhancement preprocessing operation through the causality sentence extraction and extracted sentence segmentation. Secondly, the feature construction adapted to the convolutional neural network (CNN) is conducted, which contains word information and position information. Thirdly, the results of feature construction feed into the CNN to realize the identification of risk sources. Finally, experiments are conducted with the data sets of traffic accidents, demonstrating that the proposed model can identify most of risk sources for road transportation safety with the accuracy of about 77.321%.

     

  • loading
  • 丁辉. 风险、风险源、危险源的关系探讨[J]. 安全,2019,40(4): 1-4.

    DING Hui. Discussion on the relationship among risk,risk source and hazard[J]. Safety & Security, 2019, 40(4): 1-4.
    LI J, WANG J, XU N, et al. Importance degree research of safety risk management processes of urban rail transit based on text mining method[J]. Information, 2018, 9(2): 9-26.
    SHI D, GUAN J, ZURADA J, et al. A data-mining approach to identification of risk factors in safety management systems[J]. Journal of Management Information Systems, 2017, 34(4): 1054-1081. doi: 10.1080/07421222.2017.1394056
    WILLIAMS T, BETAK J. A comparison of LSA and LDA for the analysis of railroad accident text[J]. Journal of Ubiquitous System & Pervasive Networks, 2019, 11(1): 11-15.
    ANDRZEJCZAK C, KARWOWSKI W, MIKUSINSKI P. Application of diffusion maps to identify human factors of self-reported anomalies in aviation[J]. Work, 2012, 41(S1): 188-197.
    TANGUY L, TULECHKI N, URIELI A, et al. Natural language processing for aviation safety reports:from classification to interactive analysis[J]. Computers in Industry, 2016, 78: 80-95. doi: 10.1016/j.compind.2015.09.005
    ZHANG X, MAHADEVAN S. Ensemble machine learning models for aviation incident risk prediction[J]. Decision Support Systems, 2019, 116: 48-63. doi: 10.1016/j.dss.2018.10.009
    AN N, XIAO Y B, YUAN J, et al. Extracting causal relations from the literature with word vector mapping[J]. Computers in Biology and Medicine, 2019, 115: 103524.1-103524.8. doi: 10.1016/j.compbiomed.2019.103524
    ZENG D, LIU K, LAI S, et al. Relation classification via convolutional deep neural network[C]//Proceedings of the 25th International Conference on Computational Linguistics. New York: Curran Associates, 2014: 2335-2344.
    袁飞,赵绪言,王一戈,等. 基于轻量级卷积神经网络的烟雾识别算法[J]. 西南交通大学学报,2020,55(5): 1111-1116,1132.

    YUAN Fei, ZHAo Xuyan, WANG Yige, et al. Smoke recognition algorithm based on lightweight convolutional neural network[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 1111-1116,1132.
    裘江南. 汉语文本中突发事件因果关系抽取方法研究[D]. 大连: 大连理工大学, 2012.
    HE B, GUAN Y, DAI R. Classifying medical relations in clinical text via convolutional neural networks[J]. Artificial Intelligence in Medicine, 2019, 93: 43-49. doi: 10.1016/j.artmed.2018.05.001
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(5)

    Article views(666) PDF downloads(31) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return