Influence Analysis of Pavement Distress on International Roughness Index Using Machine Learning

Author:

Kwon KibeomORCID,Choi HangseokORCID,Pham KhanhORCID,Kim SangwooORCID,Bae AbrahamORCID

Publisher

Springer Science and Business Media LLC

Reference27 articles.

1. Abdelaziz N, Abd El-Hakim RT, El-Badawy SM, Afify HA (2020) International Roughness Index prediction model for flexible pavements. International Journal of Pavement Engineering 21(1):88–99, DOI: https://doi.org/10.1080/10298436.2018.1441414

2. Al-Mansour AI, Shokri AA (2022) Correlation of pavement distress and roughness measurement. Applied Sciences 12(8):3748, DOI: https://doi.org/10.3390/app12083748

3. American Association of State Highway and Transportation Officials (AASHTO) (2008) Mechanistic-empirical pavement design guide: A manual of practice. Interim Edition, Washington DC, USA

4. American Association of State Highway and Transportation Officials (AASHTO) (2015) Mechanistic-empirical pavement design guide: A Manual of Practice, second ed, Washington, District of Columbia

5. American Association of State Highway and Transportation Officials (AASHTO) (2020) Mechanistic-empirical pavement design guide: A Manual of Practice, third ed, Washington, District of Columbia

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