Real-time road traffic states estimation based on kernel-KNN matching of road traffic spatial charac

来源 :Journal of Central South University | 被引量 : 0次 | 上传用户：wo861030

【摘要】

：

The accurate estimation of road traffic states can provide decision making for travelers and traffic managers. In this work,an algorithm based on kernel-k neare

【作者】

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徐东伟王永东贾利民张贵军郭海锋

【机构】

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CollegeofInformationEngineering,StateKeyLaboratoryofRailTrafficControlandSafety（BeijingJiaotongUnive

【出处】

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Journal of Central South University

【发表日期】

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2016年9期

【关键词】

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状态估计方法道路交通交通空间特性匹配高维特征空间交通状态实时数据序列 road traffic kernel function k neare

【基金项目】

：

Projects（LQ16E080012, LY14F030012） supported by the Zhejiang Provincial Natural Science Foundation, China, Project（61573317） supported by the National Natural Science Foundation of China, Project（2015

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The accurate estimation of road traffic states can provide decision making for travelers and traffic managers. In this work,an algorithm based on kernel-k nearest neighbor(KNN) matching of road traffic spatial characteristics is presented to estimate road

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Real-time road traffic states estimation based on kernel-KNN matching of road traffic spatial charac

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