• DocumentCode
    109962
  • Title

    A Visual-Analytics System for Railway Safety Management

  • Author

    Lira, Wallace P. ; Alves, Renan ; Costa, Jean M. R. ; Pessin, Gustavo ; Galvao, Lilyan ; Cardoso, Ana C. ; De Souza, Cleidson R. B.

  • Volume
    34
  • Issue
    5
  • fYear
    2014
  • fDate
    Sept.-Oct. 2014
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    The working environment of railways is challenging and complex and often involves high-risk operations. These operations affect both the company staff and inhabitants of the towns and cities alongside the railway lines. To reduce the employees´ and public´s exposure to risk, railway companies adopt strategies involving trained safety personnel, advanced forms of technology, and special work processes. Nevertheless, unfortunate incidents still occur. To assist railway safety management, researchers developed a visual-analytics system. Using a data analytics workflow, it compiles an incident risk index that processes information about railway incidents. It displays the index on a geographical map, together with socioeconomic information about the associated towns and cities. Feedback on this system suggests that safety engineers and experts can use it to make and communicate decisions.
  • Keywords
    geographic information systems; railway safety; risk analysis; employee exposure; geographical map; public exposure; railway companies; railway incidents; railway lines; railway safety management; railway working environment; safety engineers; safety personnel; visual analytics system; Business; Cities and towns; Competitive intelligence; Data visualization; Image color analysis; Rail transportation; Safety; Visual analytics; business intelligence; business intelligence analytics; computer graphics; graphics; railroad map; risk analysis; visual analytics;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2014.79
  • Filename
    6866039