Estimation of average daily traffic on local roads in Kentucky.
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2016-07-01
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Abstract:Kentucky Transportation Cabinet (KYTC) officials use annual average daily traffic (AADT) to estimate intersection ; performance across the state maintained highway system. KYTC currently collects AADTs for state maintained ; roads but frequently lacks this information on local roads. A method is needed to estimate local road AADTs in a ; cost-effective and reasonable manner. Kentucky Transportation Center (KTC) researchers conducted a literature ; review on U.S. AADT models but found that none of them were suitable to Kentucky. Therefore, KTC developed an ; AADT model using non-linear regression to estimate AADTs on approaches to those intersections. ; KTC developed a Poisson distributed, non-linear regression model to estimate AADT. This model divided the state ; into three regions encompassing all of the highway districts: West (Districts 1, 2, 3, and 4), North Central (Districts ; 5, 6, and 7), and East (Districts 8, 9, 10, 11, and 12). This partitioning accounted for geographic and socioeconomic ; variability across the state. Each regional model relied upon three independent variables: probe count, residential ; vehicle registration, and curve rating. HERE proprietary probe counts—indicative of vehicle movements—provide ; tracking visibility on a select portion of vehicles moving across Kentucky highways. Residential vehicle ; registrations can be used to estimate trip generation information. Finally, the curve rating partially indicates ; accessibility. ; Model results were adjusted to KYTC daily vehicle miles traveled (DVMT) county control totals for local roads. ; Sensitivity analysis was conducted to examine the impact of model errors for use in intersection safety analysis. ; Results indicate that the estimates generated can be effectively used for safety assessment and countermeasure ; prioritization.
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Main Document Checksum:urn:sha256:c6848e96f9f28f9bc9a0c8088dc806fe2fda123c71f223310275f05bf0b1f54d