• DocumentCode
    3718111
  • Title

    A big data system design to predict the vehicle slip

  • Author

    Joohyoung Jeon;Woosik Lee;Hyo Joo Cho;Hongchul Lee

  • Author_Institution
    School of Industrial and Management Engineering, Korea University, Seoul, 136-713, Korea
  • fYear
    2015
  • Firstpage
    592
  • Lastpage
    596
  • Abstract
    In this paper, we propose a system storing sensor data generated from the vehicle using Big data system and analyzing real-time sensor output to predict the car slip. A large amount of data will be distributed and stored by MongoDB which is one of NoSQL Database, and analyzed to control the vehicle by Hadoop Map/Reduce. The proposed system can be applied to general vehicle and also to the field of driverless vehicle or driverless vehicle platooning.
  • Keywords
    "Robot sensing systems","Safety","Analytical models","Filtering algorithms","Accelerometers","Real-time systems","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2015 15th International Conference on
  • ISSN
    2093-7121
  • Type

    conf

  • DOI
    10.1109/ICCAS.2015.7364987
  • Filename
    7364987
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3718111