Abstract
ABSTRACT In this study, to improve effectiveness of road management serv ices and the safety of the road in winter, road surface temperature prediction model was developed. We have utilized the existing i nput data of meteorological data and additional traffic data. T his Road surface temperature prediction model was utilizing a Heat-Balance Method additionally considering amount of traffic that produ ce heat radiation by vehicle-tire friction. This improved model was com pared to the based model to check into influence of traffic aff ecting the road surface temperature.There were verified by comparing the real observed road surface temperature of the third Gyeong-In highway and road surface temperature from the two models. As a result, the error of real observed and the predicted value (RMSE) was found to average 1 .97 ℃. Observed road surface temperature was dramatically affected by the sunlight from 6 a.m. to 2 p.m. and degree of influence decr eases after that. The predictive value of the model is lower than the observed value in the afternoon, and higher at night. These re sults appear due to the shielding of solar radiation caused by the vehicle i n the afternoon and at night, the vehicle appeared to cause the rmal heat supply. Key words : Road surface temperature, Weather conditions, Traffic volume, Heat balance method, Tire frictional heat
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