查看文章

Vehicle miles of travel (VMT) data have a wide range of applications in highway agency business processes. However, at all administrative levels, highway agencies continue to be stymied by the poor reliability of local-road VMT estimates resulting from the inadequacy of local-road traffic counts. This paper presents a methodology to address this problem. The methodology first clusters local roads and then imputes traffic-volume data for segments within each cluster by applying spatial interpolation techniques and sparse traffic-volume data. The proposed methodology uses geographic information system (GIS)-enabled spatial interpolation algorithms, including Kriging, inverse distance weighting (IDW), natural neighbor (NN), and trend techniques. The accuracy, in terms of prediction error, of each technique was validated using actual traffic counts. Spatial interpolation techniques can yield efficient imputations of …