关键词: 交通运输系统工程, 车型分类, 交通传感器网络, 相关性分析, 最大似然估计

Abstract:

In order to avoid the error of vehicle type classification with single- geomagnetic sensor,a geomagneticsensor network is constructed and is used to create a multi- sensor signature fusion algorithm for vehicle type classifi-cation.In this algorithm,the statuses of moving vehicles are determined on the basis of correlations of different ve-hicle signatures,and vehicle data are fused via the maximum likelihood in combination with the Pearson correlationcoefficient,so that more accurate vehicle signatures are acquired and more precise inputs for vehicle type classifica-tion are provided.Practical road experiments show that,in comparison with the existing single- sensor classificationalgorithms,this newly proposed algorithm helps the classification accuracy for medium- or large- size vehicles im-prove by 17.5%

Key words: transportation system engineering, vehicle type classification, traffic sensor network, correlationanalysis, maximum likelihood estimation