JKSMI
Journal of the Korea Institute for
Structural Maintenance and Inspection
KSMI
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ISSN : 2234-6937 (Print)
ISSN : 2287-6979 (Online)
http://journal.auric.kr/jksmi/
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Journal of the Korea Concrete Institute
J Korea Inst. Struct. Maint. Insp.
Indexed by
Korea Citation Index (KCI)
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2026-02
(Vol.30 No.1)
10.11112/jksmi.2026.30.1.28
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References
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Rasol, M., Schmidt, F., Ientile, S. (2023), FriC-PM: Machine learning-based road surface friction coefficient predictive model using intelligent sensor data, Construction and Building Materials, 370, 130567
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Zhao, T., Guo, P., Wei, Y. (2024), Road friction estimation based on vision for safe autonomous driving, Mechanical Systems and Signal Processing, 208, 111019
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Kane, M., Rado, Z., Timmons, A. (2015), Exploring the texture–friction relationship: from texture empirical decomposition to pavement friction, International Journal of Pavement Engineering, 16(10), 919-928.
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Noh, S. J., An, H., Lee, J. H. (2025), Development of road surface condition prediction technology for black-ice based on RF-LSTM model, Journal of the Korea Institute for Structural Maintenance and Inspection, 29(3), 20-26.
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(2023), Traffic Accident Analysis System (TAAS)