Developing Vehicular Data Cloud Services in the IoT Environment

被引：364

作者：

He, Wu ^{[1
]}

Yan, Gongjun ^{[2
]}

Xu, Li Da ^{[1
,3
,4
,5
]}

机构：

[1] Old Dominion Univ, Norfolk, VA 23529 USA

[2] Univ So Indiana, Evansville, IN 47712 USA

[3] Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China

[4] Shanghai Jiao Tong Univ, Shanghai 20024, Peoples R China

[5] Univ Sci & Technol China, Hefei 230026, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2014年 / 10卷 / 02期

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

Automobile service; cloud computing; internet of things (IoT); intelligent transportation systems (ITSs); service-oriented architecture (SOA); INTERNET; SYSTEMS; THINGS; CHALLENGES;

D O I：

10.1109/TII.2014.2299233

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 Naive Bayes model and a Logistic Regression model, are presented in detail. Challenges and directions for future work are also provided.

引用

页码：1587 / 1595

页数：9

共 53 条

[1]

[Anonymous], 2011, P 4 INT S APPL SCI B, DOI DOI 10.1145/2093698.2093863

[2]

[Anonymous], 2011, 14 INT IEEE C INT TR

[3] Datacenter at the Airport: Reasoning about Time-Dependent Parking Lot Occupancy [J].