• DocumentCode
    1791745
  • Title

    Big data challenges in railway engineering

  • Author

    Attoh-Okine, Nii

  • Author_Institution
    Dept. of Civil & Environ. Eng., Univ. of Delaware, Newark, DE, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    7
  • Lastpage
    9
  • Abstract
    As Big Data becomes part of railroad data analysis, there are many challenges which need to be addressed by the railway industry. This extended abstract highlights some of the challenges from specific examples in railway engineering. This work does not present the challenges of dealing with Big Data in general which is beyond the scope of this paper. The examples provided in this extended abstract cover both the engineering and the management of railroad applications.
  • Keywords
    Big Data; data analysis; railway engineering; railway industry; Big Data; railroad data analysis; railway engineering; railway industry; Big data; Data analysis; Databases; Geometry; Rail transportation; Rails; Railway engineering; Big Data; Geometry Defects; Privacy; Rail Defects; Railway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004424
  • Filename
    7004424
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1791745