标题:Smart Transportation Systems for Cities in the Framework of Future Networks
作者:Zhang, Yanwu; Li, Lei; Li, Guofu; Zhu, Pengjia; Li, Qingyuan; Zhang, Yu; Cao, Ning; Jin, Renhao; Tian, Gang; Zhang, Yanpiao
通讯作者:Cao, Ning;Cao, N
作者机构:[Zhang, Yanwu; Li, Lei; Li, Qingyuan; Zhang, Yu; Cao, Ning] Qingdao Binhai Univ, Sch Informat Engn, Qingdao, Shandong, Peoples R China.; [Li, Guofu; 更多
会议名称:4th International Conference on Cloud Computing and Security (ICCCS)
会议日期:JUN 08-10, 2018
来源:CLOUD COMPUTING AND SECURITY, PT VI
出版年:2018
卷:11068
页码:70-79
DOI:10.1007/978-3-030-00021-9_7
关键词:Smart transportation system; Wireless networks; Data mining
摘要:Smart transportation system is a cross-field research topic involving a variety of disciplines, in which data plays a central role. Researches that are driven by data can be traced back to the 1930s, when the British statistician and biologist Ronald Fisher creates the Iris dataset to study the objective and automated way to classify iris flower. Early success of data powered research illustrates the potential value of data in the research topics in either scientific or social domains. City transportation system is one of the most fundamental components of the city service. Recent researches show that the quality of the transportation service largely depends on how well its resources can be managed and utilized, which in turn relies on how well the data derived from that system can be collected and processed for the need of the government authority, as well as any individual citizen. Improvements on the transportation via the smart transportation system do not only pose an important impact on any individual's life style, but it is also a great saving of time and energy.
收录类别:CPCI-S;EI
WOS核心被引频次:1
资源类型:会议论文
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