Annual average daily traffic forecasting using different techniques

Abstract

This paper describes annual average daily traffic (AADT) forecasting for the Lithuanian highways using a forecasting method used by Idaho Department for Transportation, growth factor, linear regression and multiple regression. AADT forecasts obtained using these methods are compared with the forecasts evaluated by traffic experts and given in references. The results show that the best Lithuanian traffic data are obtained using Idaho forecasting method. It is assumed that the curve of AADT change should be exponential in the future.

First Published Online: 27 Oct 2010

Keyword : AADT, AADT forecasting, AADT forecasting using linear regression, AADT forecasting using multiple regression, AADT forecasting using growth factor