• DocumentCode
    56451
  • Title

    Developing Vehicular Data Cloud Services in the IoT Environment

  • Author

    Wu He ; Gongjun Yan ; Li Da Xu

  • Author_Institution
    Old Dominion Univ., Norfolk, VA, USA
  • Volume
    10
  • Issue
    2
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1587
  • Lastpage
    1595
  • Abstract
    The advances in cloud computing and internet of things (IoT) have provided a promising opportunity to resolve the challenges caused by the increasing transportation issues. We present a novel multilayered vehicular data cloud platform by using cloud computing and IoT technologies. Two innovative vehicular data cloud services, an intelligent parking cloud service and a vehicular data mining cloud service, for vehicle warranty analysis in the IoT environment are also presented. Two modified data mining models for the vehicular data mining cloud service, a Naïve Bayes model and a Logistic Regression model, are presented in detail. Challenges and directions for future work are also provided.
  • Keywords
    Bayes methods; Internet of Things; cloud computing; data mining; intelligent transportation systems; logistics; regression analysis; road traffic; Internet of Things; IoT environment; cloud computing; intelligent parking cloud service; logistic regression model; multilayered vehicular data cloud platform; naïve Bayes model; transportation issues; vehicle warranty analysis; vehicular data mining cloud service; Cloud computing; Computer architecture; Data mining; Sensors; Service-oriented architecture; Vehicles; Wireless sensor networks; Automobile service; cloud computing; intelligent transportation systems (ITSs); internet of things (IoT); service-oriented architecture (SOA);
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2299233
  • Filename
    6709775