This paper summarizes the evaluation results of six data sources in terms of their ability to estimate the number of commercial trucks operating in interstate commerce and their vehicle miles of travel (VMT) by carrier type and by state, and presents two cost-effective methodologies in estimating these parameters based on the evaluation results. The six data sources were: (1) Truck Inventory and Use Survey (TIUS) from the Bureau of the Census; (2) Nationwide Truck Activity and Commodity Survey (NTACS) from the Bureau of the Census; (3) National Truck Trip Information Survey (NTTIS) from the University of Michigan Transportation Research Institute (UMTRI); (4) Highway Performance Monitoring System (HPMS) from the Federal Highway Administration (FHWA), Department of Transportation; (5) International Registration Plan (IRP) of the American Association of Motor Vehicle Administrators (AAMVA); and (6) State fuel tax reports from each individual state and the International Fuel Tax Agreement (IFTA). Evaluation results concluded that none of the data sources by themselves were capable of providing reliable estimates at the state level. Although several attempts were made to combine the strengths of different data sources so that reliable estimates could be generated, none of them were successful. Data inconsistency and incompatibility contributed primarily to the failures. Although several of the six data sources by themselves could provide estimates at the national level, each had limitations. As a result of these findings, two methodologies were proposed to estimate the number of commercial trucks operating in interstate commerce and their VMT by carrier type. Neither method required collecting additional data. 12 refs., 5 tabs. (ERA citation 16:000747)


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