Annual average daily traffic forecasting using different techniques

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 forecas...

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Bibliographic Details
Main Author: T. Šliupas
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2006-03-01
Series:Transport
Subjects:
Online Access:http://www.transport.vgtu.lt/upload/tif_zur/2006-1-sliupas.pdf
Description
Summary: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.
ISSN:1648-4142
1648-3480