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http://dx.doi.org/10.12815/kits.2015.14.2.030

Developing a Model to Predict Road Surface Temperature using a Heat-Balance Method, Taking into Traffic Volume  

Son, Young-Tae (Myong-Ji Uni.)
Jeon, Jin-Suk (Myong-Ji Uni.)
Whang, Jun-Mun (Gyeonggi Research Inst.)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.14, no.2, 2015 , pp. 30-38 More about this Journal
Abstract
In this study, to improve effectiveness of road management services and the safety of the road in winter, road surface temperature prediction model was developed. We have utilized the existing input data of meteorological data and additional traffic data. This Road surface temperature prediction model was utilizing a Heat-Balance Method additionally considering amount of traffic that produce heat radiation by vehicle-tire friction. This improved model was compared to the based model to check into influence of traffic affecting 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 $1.97^{\circ}C$. Observed road surface temperature was dramatically affected by the sunlight from 6 a.m. to 2 p.m. and degree of influence decreases after that. The predictive value of the model is lower than the observed value in the afternoon, and higher at night. These results appear due to the shielding of solar radiation caused by the vehicle in the afternoon and at night, the vehicle appeared to cause thermal heat supply.
Keywords
Road surface temperature; Weather conditions; Traffic volume; Heat balance method; Tire frictional heat;
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