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
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);
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2014.2299233