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SRVC:传感网络远程车辆分类(最终报告)
SRVC: Sensornets for Remote Vehicle Classification. Final Report
作者:Heidemann, J;Zhang, C. 作者单位:University of Southern California, Marina del Rey. Information Sciences Inst.;Department of Transportation, Washington, DC. University Transportation Centers Program. 加工时间:2014-04-03 信息来源:科技报告(PB) 索取原文[47 页]
关键词:通信;车辆分类;通信网络;安全通信;交通管理
摘 要:This report summarizes the results of a two-year research effort on sensornets for vehicle traffic classification. At the study outside, our main goals were to understanding the communications requirements for traffic monitoring systems (both short-range wireless inside a traffic sensornet, and wide-area to a central Traffic Management System), developing self-configuring traffic monitoring systems, and integrating prior work with these new results. The key outcomes of our research are to understand communications in a classification system, to carefully evaluate the effects of signature matching, and to further develop self-configuration. Finally, we tested our new approaches through a second major data collection exercise at USC.
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