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http://dx.doi.org/10.5394/KINPR.2014.38.1.65

K-factor Prediction in Import and Export Cargo Trucks-Concentrated Expressways by Short-Term VDS Data  

Kim, Tae-Gon (Civil Engineering, Korea Maritime and Ocean University)
Heo, In-Seok (Civil Engineering, Korea Maritime and Ocean University)
Jeon, Jae-Hyun (Civil Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of Navigation and Port Research / v.38, no.1, 2014 , pp. 65-71 More about this Journal
Abstract
Gyeongbu and Namhae expressways in the country, are the major arterial highways which are connected with the Busan port in the north-south and east-west directions, respectively, and required to study the traffic characteristics about the hourly volume factors(K-factor) by concentrated midium-size and large-size cargo trucks of 20% or higher in expressways. We therefore attempted to predict the K-factor in expressways through the correlation analysis between K-factor and K-factor estimates on the basis of the short-term VDS data collected at the basic segments of the above major expressways. As a result, power model appeared to be appropriate in predicting K-factor by the K-factor estimate based on VDS data for 7 days with a high explanatory power and validity.
Keywords
expressway; traffic characteristics; K-factor; K-factor estimate; correlation analysis; regression model;
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