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International Journal of Pavement Engineering Volume 21, 2020 - Issue 1
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International Roughness Index prediction model for flexible pavements

Nader Abdelaziz Public Works Engineering Department, Faculty of Engineering, Tanta University , Tanta, Egypt
,
Ragaa T. Abd El-Hakim Public Works Engineering Department, Faculty of Engineering, Tanta University , Tanta, EgyptCorrespondence[email protected]
,
Sherif M. El-Badawy Public Works Engineering Department, Faculty of Engineering, Mansoura University , El-Mansoura, Egypt
&
Hafez A. Afify Public Works Engineering Department, Faculty of Engineering, Tanta University , Tanta, Egypt
Pages 88-99 | Received 28 Jul 2017, Accepted 09 Feb 2018, Published online: 05 Mar 2018

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Cafer Kayadelen, Yakup Önal, Gökhan Altay, Mitat Öztürk & Sercan Serin. (2023) Effects of maintenance, traffic and climate condition on International Roughness Index of flexible pavement. International Journal of Pavement Engineering 24:1.
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Lucas Dotto Bueno, Deividi da Silva Pereira, Luciano Pivoto Specht, Luis Alberto Herrmann do Nascimento, Silvio Lisboa Schuster, Marcos Antonio Fritzen, Youngsoo Richard Kim & Ana Helena Back. (2023) Contribution to the mechanistic-empirical roughness prediction in asphalt pavements. Road Materials and Pavement Design 24:3, pages 690-705.
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Jalal Barzegaran, Reza Shahni Dezfoulian & Mansour Fakhri. (2022) Estimation of IRI from PASER using ANN based on k-means and fuzzy c-means clustering techniques: a case study. International Journal of Pavement Engineering 23:14, pages 5153-5167.
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Hamed Naseri, Hamid Jahanbakhsh, Amirabbas Foomajd, Narek Galustanian, Mohammad M. Karimi & E.O. D. Waygood. (2022) A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression. International Journal of Pavement Engineering 0:0, pages 1-13.
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Amirhossein Fani, Amir Golroo, Hamed Naseri, S. Ali Mirhassani & Amir H. Gandomi. (2022) Risk-based pavement maintenance planning considering budget and pavement deterioration uncertainty. Structure and Infrastructure Engineering 0:0, pages 1-14.
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Hamed Naseri, Mohammad Shokoohi, Hamid Jahanbakhsh, Amir Golroo & Amir H. Gandomi. (2022) Evolutionary and swarm intelligence algorithms on pavement maintenance and rehabilitation planning. International Journal of Pavement Engineering 23:13, pages 4649-4663.
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Yazan Ibrahim Alatoom & Turki I. Al-Suleiman (Obaidat). (2022) Development of pavement roughness models using Artificial Neural Network (ANN). International Journal of Pavement Engineering 23:13, pages 4622-4637.
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Runhua Guo, Donglei Fu & Giuseppe Sollazzo. (2022) An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree. International Journal of Pavement Engineering 23:10, pages 3633-3646.
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Hamed Naseri, Amir Golroo, Mohammad Shokoohi & Amir H. Gandomi. (2022) Sustainable pavement maintenance and rehabilitation planning using the marine predator optimization algorithm. Structure and Infrastructure Engineering 0:0, pages 1-13.
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Hamed Naseri, Mehrdad Ehsani, Amir Golroo & Fereidoon Moghadas Nejad. (2022) Sustainable pavement maintenance and rehabilitation planning using differential evolutionary programming and coyote optimisation algorithm. International Journal of Pavement Engineering 23:8, pages 2870-2887.
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Arieh Sidess, Amnon Ravina & Eyal Oged. (2022) A model for predicting the deterioration of the international roughness index. International Journal of Pavement Engineering 23:5, pages 1393-1403.
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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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Dawid Rys. (2021) Consideration of dynamic loads in the determination of axle load spectra for pavement design. Road Materials and Pavement Design 22:6, pages 1309-1328.
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Amr A. Elhadidy, Sherif M. El-Badawy & Emad E. Elbeltagi. (2021) A simplified pavement condition index regression model for pavement evaluation. International Journal of Pavement Engineering 22:5, pages 643-652.
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Sylvester Inkoom, John Sobanjo, Adrian Barbu & Xufeng Niu. (2019) Prediction of the crack condition of highway pavements using machine learning models. Structure and Infrastructure Engineering 15:7, pages 940-953.
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