Develop New Methods to Use ODOT Weigh-in-Motion Data for Predicting Freight Flow and/or Commodity Patterns

US Transportation Collection2020PDFTech ReportAnderson, Jason C.Unnikrishnan, AvinashFigliozzi, Miguel A.Hernandez, SalvadorPortland State UniversityOregon State UniversityOregon. Dept. of Transportation. Research SectionUnited States. Department of Transportation. Federal Highway AdministrationOregon. Dept. of Transportation. Research SectionOregonUnited StatesCommodity flowData analysisForecastingFreight trafficMethodologyOrigin and destinationStatistical analysisTraffic countsWeigh in motionQuality controlIndustry TypeFHWA-OR-RD-21-01SPR-821Final ReportThis study presents the results of a detailed analysis of Oregon weigh-in-motion (WIM) data. First, a quality control analysis was conducted considering Oregon Department of Transportation (ODOT) Class 11 (FHWA Class 09 trucks). Next, a set of descriptive analyses were conducted, one focusing on all WIM stations and one focusing on select WIM stations. In both analyses, the primary focus was on truck volume and average monthly observed combined (truck and cargo) weight. For the select WIM stations, average monthly percentages, day-of- week trends, annual growth rates, and summaries of truck volume, cargo weight, and empties were provided. Following the descriptive analysis, data comparisons were made to Freight Analysis Framework (FAF) and ODOT traffic counts. Finally, using EROAD data, industry types, distance traveled, and origin-destination locations were analyzed relative to select WIM stations. This report concludes by providing a comprehensive conclusion and specific recommendations as it pertains to WIM data and corresponding analyses in Oregon.120