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Developing Vehicular Data Cloud Services in the IoT Environment

IEEE Transactions on Industrial Informatics · 2014 · Vol. 10(2) · pp. 1587–1595
He WuGongjun YanLi Da Xu

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.

Vehicular Ad Hoc Networks (VANETs)IoT and Edge/Fog ComputingTraffic Prediction and Management TechniquesCloud computingComputer scienceWarrantyService (business)Internet of ThingsCloud service providerIntelligent transportation systemComputer securityCloud computing securityTransport engineering
Citations
563
FWCI
35.54
field-weighted impact
References
55
Percentile
100%
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Citations per year
References
Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things
IEEE Transactions on Industrial Informatics · 2012 · 558 citations
Enterprise Systems: State-of-the-Art and Future Trends
IEEE Transactions on Industrial Informatics · 2011 · 683 citations
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