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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 15, 2019 - Issue 7
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Original Articles

Prediction of the crack condition of highway pavements using machine learning models

Sylvester InkoomFAMU-FSU College of Engineering Department of Civil and Environmental Engineering, Tallahassee, FL, USA; Correspondence[email protected]
,
John SobanjoFAMU-FSU College of Engineering Department of Civil and Environmental Engineering, Tallahassee, FL, USA;
,
Adrian BarbuDepartment of Statistics, Florida State University, Tallahassee, FL, USA;
&
Xufeng NiuDepartment of Statistics, Florida State University, Tallahassee, FL, USA;
Pages 940-953 | Received 16 May 2018, Accepted 16 Dec 2018, Published online: 18 Mar 2019

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Qihui Peng, Wenming Cheng, Hongyu Jia, Peng Guo & Kang Jia. (2023) Rapid seismic damage assessment using machine learning methods: application to a gantry crane. Structure and Infrastructure Engineering 19:6, pages 779-792.
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Fritz J. Jooste, Seosamh B. Costello & Sean Rainsford. (2023) Prediction of network level pavement treatment types using multi-classification machine learning algorithms. Road Materials and Pavement Design 24:2, pages 410-426.
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Jingnan Zhao, Hao Wang & Pan Lu. (2022) Impact analysis of traffic loading on pavement performance using support vector regression model. International Journal of Pavement Engineering 23:11, pages 3716-3728.
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Alaa R. Gabr, Bishwajit Roy, Mosbeh R. Kaloop, Deepak Kumar, Ali Arisha, Mohamed Shiha, Sayed Shwally, Jong Wan Hu & Sherif M. El-Badawy. (2022) A novel approach for resilient modulus prediction using extreme learning machine-equilibrium optimiser techniques. International Journal of Pavement Engineering 23:10, pages 3346-3356.
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Fengdi Guo, Xingang Zhao, Jeremy Gregory & Randolph Kirchain. (2022) A weighted multi-output neural network model for the prediction of rigid pavement deterioration. International Journal of Pavement Engineering 23:8, pages 2631-2643.
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A. T. Olowosulu, J. M. Kaura, A. A. Murana & P. T. Adeke. (2022) Investigating surface condition classification of flexible road pavement using data mining techniques. International Journal of Pavement Engineering 23:7, pages 2148-2159.
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Feng Xiao, Xinyu Chen, Jianchuan Cheng, Shunxin Yang & Yang Ma. (2022) Establishment of probabilistic prediction models for pavement deterioration based on Bayesian neural network. International Journal of Pavement Engineering 0:0, pages 1-16.
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Mosbeh R. Kaloop, Sherif M. El-Badawy, Jungkyu Ahn, Hyoung-Bo Sim, Jong Wan Hu & Ragaa T. Abd El-Hakim. (2022) A hybrid wavelet-optimally-pruned extreme learning machine model for the estimation of international roughness index of rigid pavements. International Journal of Pavement Engineering 23:3, pages 862-876.
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Parisa Setayesh Valipour, Amir Golroo, Afarin Kheirati, Mohammadsadegh Fahmani & Mohammad Javad Amani. Automatic pavement distress severity detection using deep learning. Road Materials and Pavement Design 0:0, pages 1-17.
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