The estimation of equivalent axleloads (EAL) requires the correlation of several data bases. Described herein are three computer programs which summarize truckweight data and classification data, and combine the two data bases to estimate EAL's for each site where classification counts are available in a given year.

The programs also present the data in two matrices to characterize the effects that geographic area, federal-aid classification, coal-haul volume and total volume have on each of the traffic parameters necessary to compute EAL's.

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The contents of this report reflect the views of the authors, who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the University of Kentucky, the Kentucky Transportation Cabinet, or the Federal Highway Administration. This report does not constitute a standard, specification, or regulation.