Research, Development, and Application of Methods to Update Freight Analysis Framework Out-of-Scope Commodity Flow Data and Truck Payload Factors
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2020-04-01
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Abstract:Methods for modeling freight demand and goods movement in the United States (U.S.) are evolving from aggregated methods to disaggregated methods. Emerging technologies are providing opportunities for more efficient data collection and new data collection that support more advanced freight modeling, analysis and data development environments. An improved method to estimate Commodity Flow Survey (CFS) Out of Scope (OOS) data along with an updated Truck Payload Factors (TPF) will further national freight transportation data and analysis capability and will allow for a more accurate analysis of transportation network performance for various freight flow scenarios. This report provides improved and detailed information regarding freight flow patterns to better support FHWA's current and future freight analysis needs through the Freight Analysis Framework (FAF). The report provides an improved method to integrate CFS OOS data with FAF and an updated and transparent Truck Payload Factors within FAF to convert Origin-Destination (O-D) flow of commodity weight to O-D flow of number of trucks.
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