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原文传递 Validation of Urban Vehicle Classification Sampling Methodology. Final rept.

题名：	Validation of Urban Vehicle Classification Sampling Methodology. Final rept.
作者：	ERKER, M.; HOESCHEN, B.; JANSON, B.; MEDLAND, R.
关键词：	Colorado-; Vehicle-count; *Clusters-.;Statistics-; Classification-; Urban-areas; Chi-square; Goodness-of-fit.
摘要：	The Mobility Analysis Section of the CDOT Division of Transportation Development (DTD) developed this study to determine whether the cluster count method developed by CDOT is statistically reliable for estimating vehicle classification on urban roadways with average daily traffic volumes exceeding 15,000 vehicles per day. Specifically, CDOT needed to assess whether or not the percentages of vehicles in the 13 FHWA vehicle classifications estimated by the cluster count method differ significantly from expected percentages obtained by 24-hour counts. Since vehicle classification is expensive to perform by manual observation over long periods of time, a statistically reliable method of estimating vehicle type percentages on urban roadways using a less time-consuming method is desirable. The study team utilized the chi-square statistical test to evaluate the similarity between vehicle classifications collected using the cluster count method and 24-hour vehicle counts collected using other data collection methods. Vehicle classification data were collected at 12 sites around Denver, Colorado that represented different roadway classes.
报告类型：	科技报告