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%