ESTIMATION OF ANNUAL AVERAGE DAILY TRAFFIC FOR OFF-SYSTEM ROADS IN FLORIDA

This study investigated the possibility of establishing one or more models for estimating Annual Average Daily Traffic (AADT) for off-system roads in Florida. It is intended by the Florida Department of Transportation that once such models are developed, important variables that contribute to AADT may be identified and their impact on AADT may be quantified. As a result, a matrix or a classification method may be developed for grouping roads into different categories. Roads in each category would possess similar characteristics. AADT may then be estimated for roads that do not have traffic counts based on those on other roads in the same category. The issues addressed in this research were data availability, data collection and processing, suitability of various data for model development, choice of modeling techniques, model accuracy, model applications, and model improvements. This report presents the results of this research.