中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Vehicular Social Networks: Enabling Smart Mobility

文献类型:期刊论文

作者Zhaolong Ning; Feng Xia; Noor Ullah; Xiangjie Kong; Xiping Hu
刊名IEEE Communications Magazine
出版日期2017
文献子类期刊论文
英文摘要Vehicular transportation is an essential part of modern cities. However, the ever increasing number of road accidents, traffic congestion, and other such issues become obstacles for the realization of smart cities. As the integration of the Internet of Vehicles and social networks, vehicular social networks (VSNs) are promising to solve the above-mentioned problems by enabling smart mobility in modern cities, which are likely to pave the way for sustainable development by promoting transportation efficiency. In this article, the definition of and a brief introduction to VSNs are presented first. Existing supporting communication technologies are then summarized. Furthermore, we introduce an application scenario on trajectory data-analysis-based traffic anomaly detection for VSNs. Finally, several research challenges and open issues are highlighted and discussed.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/11640]  
专题深圳先进技术研究院_集成所
作者单位IEEE Communications Magazine
推荐引用方式
GB/T 7714
Zhaolong Ning,Feng Xia,Noor Ullah,et al. Vehicular Social Networks: Enabling Smart Mobility[J]. IEEE Communications Magazine,2017.
APA Zhaolong Ning,Feng Xia,Noor Ullah,Xiangjie Kong,&Xiping Hu.(2017).Vehicular Social Networks: Enabling Smart Mobility.IEEE Communications Magazine.
MLA Zhaolong Ning,et al."Vehicular Social Networks: Enabling Smart Mobility".IEEE Communications Magazine (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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