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Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
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  • Korea Citation Index (KCI)

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  3. 2025-06 (Vol.29 No.3)
  4. 10.11112/jksmi.2025.29.3.20
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References

1 
Juga, I., Nurmi, P., and Hippi, M. (2013), Statistical modelling of wintertime road surface friction, Meteorological Applications, 20(3), 318-329.DOI
2 
Pu, Z., Liu, C., Shi, X., Cui, Z., and Wang, Y. (2021), Road surface friction prediction using long short-term memory neural network based on historical data, Journal of Intelligent Transportation Systems, 26(1), 34-45.DOI
3 
Bogren, J., and Gustavsson, T. (1991), Nocturnal air and road surface temperature variations in complex terrain, International Journal of Climatology, 11(4), 443-455.DOI
4 
Lee, M., Kim, Y., Jun, Y., and Yong, H. (2018), Prediction of road surface state caused by weather condition using machine learning model, Journal of Information Technology and Architecture, 15(4), 521-536 (in Korean).URL
5 
Lim, H. S., and Kim, S. T. (2020), A study on road ice prediction by applying road freezing evaluation model, Journal of the Korean Applied Science and Technology, 37(6), 1507-1516 (in Korean).DOI
6 
Kim, B., Kim, E., Jung, S., Kim, M., Kim, J., and Kim, S. (2023), PM2. 5 Concentration forecasting using weighted Bi-LSTM and random forest feature importance-based feature selection, Atmosphere, 14(6), 968 (in Korean).DOI
7 
Lin, S., and Tian, H. (2020, June), Short-term metro passenger flow prediction based on random forest and LSTM, In 2020 IEEE 4th information technology, networking, Electronic and Automation Control Conference (ITNEC) (Vol. 1, pp. 2520-2526), IEEE.DOI
8 
Kutner, M. H., Nachtsheim, C. J., Neter, J., and Li, W. (2005), Applied linear statistical models. McGraw-hill.URL
9 
Feng, F., and Fu, L. (2015), Winter road surface condition forecasting, Journal of Infrastructure Systems, 21(3), 04014049.DOI
10 
Jaiswal, J. K., and Samikannu, R. (2017, February), Application of random forest algorithm on feature subset selection and classification and regression, In 2017 world congress on computing and communication technologies (WCCCT) (pp. 65-68), IEEE.DOI
11 
Takasaki, Y., Saldana, M., Ito, J., and Sano, K. (2022), Development of a method for estimating road surface condition in winter using random forest, Asian Transport Studies, 8, 100077.DOI
12 
Khan, M. N., and Ahmed, M. M. (2022), Weather and surface condition detection based on road-side webcams: Application of pre-trained convolutional neural network, International Journal of Transportation Science and Technology, 11(3), 468-483.DOI
13 
Korea Road Traffic Authority (KRTA) (2023), Traffic Accident Analysis System (TAAS), Sejong, South Korea. Available at: https://taas.koroad.or.krURL