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    宁兆龙

    • 副教授     硕士生导师
    • 主要任职:无
    • 性别:男
    • 毕业院校:东北大学
    • 学位:博士
    • 在职信息:在职
    • 所在单位:软件学院
    • 学科:软件工程 通信与信息系统
    • 联系方式:zhaolongning@dlut.edu.cn
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    A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles

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    论文类型:期刊论文

    第一作者:Wang, Xiaojie

    通讯作者:Wang, XJ (reprint author), Dalian Univ Technol, Sch Software, Dalian, Peoples R China.

    合写作者:Ning, Zhaolong,Hu, Xiping,Ngai, Edith C.H.,Wang, Lei,Hu, Bin,Kwok, Ricky Y. K.

    发表时间:2018-09-01

    发表刊物:IEEE COMMUNICATIONS MAGAZINE

    收录刊物:SCIE

    卷号:56

    期号:9

    页面范围:19-25

    ISSN号:0163-6804

    摘要:As an emerging platform based on ITS, SIoV is promising for applications of traffic management and road safety in smart cities. However, the end-to-end delay is large in store-carry-and-forward-based vehicular networks, which has become the main obstacle for the implementation of large-scale SIoV. With the extensive applications of mobile devices, crowdsensing is promising to enable real-time content dissemination in a city-wide traffic management system. This article first provides an overview of several promising research areas for traffic management in SIoV. Given the significance of traffic management in urban areas, we investigate a crowdsensing-based framework to provide timely response for traffic management in heterogeneous SIoV. The participant vehicles based on D2D communications integrate trajectory and topology information to dynamically regulate their social behaviors according to network conditions. A real-world taxi trajectory analysis-based performance evaluation is provided to demonstrate the effectiveness of the designed framework. Furthermore, we discuss several future research challenges before concluding our work.