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Estimation of Average Daily Traffic on Local Roads in Kentucky
Kentucky Transportation Center Research Report
  • Reginald R. Souleyrette, University of Kentucky
  • Brian K. Howell, University of Kentucky
  • Eric R. Green, University of Kentucky
  • William Nicholas Staats, University of Kentucky
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.
Report Date
7-1-2016
Report Number
KTC-16-13/FRT201-15-1F
Digital Object Identifier
http://dx.doi.org/10.13023/KTC.RR.2016.13
Notes

© 2016 University of Kentucky, Kentucky Transportation Center

Information may not be used, reproduced, or republished without KTC’s written consent.

The contents of this report reflect the views of the authors who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the University of Kentucky, Kentucky Transportation Cabinet, or Federal Highway Administration. This report does not constitute a standard, specification, or regulation. The inclusion of manufacturer names and trade names is for identification purposes and is not to be considered an endorsement.

Citation Information
Reginald R. Souleyrette, Brian K. Howell, Eric R. Green and William Nicholas Staats. Estimation of Average Daily Traffic on Local Roads in Kentucky. (2016)
Available at: http://works.bepress.com/eric_green/75/