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面向车联网的高速路OD矩阵估计模型

汪成亮 张晨 黄文龙

汪成亮, 张晨, 黄文龙. 面向车联网的高速路OD矩阵估计模型[J]. 西南交通大学学报, 2013, 26(6): 1078-1083. doi: 10.3969/j.issn.0258-2724.2013.06.017
引用本文: 汪成亮, 张晨, 黄文龙. 面向车联网的高速路OD矩阵估计模型[J]. 西南交通大学学报, 2013, 26(6): 1078-1083. doi: 10.3969/j.issn.0258-2724.2013.06.017
WANG Chengliang, ZHANG Chen, HUANG Wenlong. Origin-Destination Matrix Estimation Model for Freeway Oriented Internet of Vehicles[J]. Journal of Southwest Jiaotong University, 2013, 26(6): 1078-1083. doi: 10.3969/j.issn.0258-2724.2013.06.017
Citation: WANG Chengliang, ZHANG Chen, HUANG Wenlong. Origin-Destination Matrix Estimation Model for Freeway Oriented Internet of Vehicles[J]. Journal of Southwest Jiaotong University, 2013, 26(6): 1078-1083. doi: 10.3969/j.issn.0258-2724.2013.06.017

面向车联网的高速路OD矩阵估计模型

doi: 10.3969/j.issn.0258-2724.2013.06.017
基金项目: 

国家自然科学基金资助项目(61004112)

中央高校基本科研业务费专项资金资助项目(CDJZR12180006)

详细信息
    作者简介:

    汪成亮(1975-),男,副教授,博士,研究方向为传感器网络,电话:18983055830,E-mail:wangcl@cqu.edu.cn

Origin-Destination Matrix Estimation Model for Freeway Oriented Internet of Vehicles

  • 摘要: 针对高速路OD矩阵的采集与估计,提出采用RFID技术的车联网进行部署,建立有缺失数据的OD矩阵采集方法.用拉格朗日乘数法求解OD矩阵元素概率的极大似然估计,给出基于EM算法的OD矩阵估计算法.通过912节点规模的仿真实验结果表明,提出的算法相比模拟采集准确性更高,真实数据的均方根误差降低了77.7%,验证了算法流程和模型的有效性.

     

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出版历程
  • 收稿日期:  2012-11-19
  • 刊出日期:  2013-12-25

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