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International Journal of Pavement Engineering Volume 23, 2022 - Issue 13
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Articles

Development of pavement roughness models using Artificial Neural Network (ANN)

Yazan Ibrahim AlatoomDepartment of Civil Engineering, Jordan University of Science and Technology, Irbid, JordanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7616-1167
ORCID Icon &
Turki I. Al-Suleiman (Obaidat)Department of Civil Engineering, Jordan University of Science and Technology, Irbid, Jordan
Pages 4622-4637 | Received 18 May 2021, Accepted 10 Aug 2021, Published online: 18 Aug 2021

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Nahla Alaswadko & Khulood Hwayyis. (2023) An approach to investigate the supplementary inconsistency between time series data for predicting road pavement performance models. International Journal of Pavement Engineering 24:2.
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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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Articles from other publishers (10)

Miaomiao Zhang, Hongren Gong, Yuetan Ma, Xi Jiang & Baoshan Huang. (2022) Nomogram for Predicting Asphalt Pavement Roughness After Preventive Maintenance Based on Long-Term Pavement Performance Data. Transportation Research Record: Journal of the Transportation Research Board 2677:5, pages 991-1006.
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Zhuoyang Li, Shichun Yang, Yuyi Chen, Zhaobo Nan, Runwu Shi, Rui Wang & Mengyue Zhang. A Road Roughness Estimation Method based on PSO-LSTM Neural Network. A Road Roughness Estimation Method based on PSO-LSTM Neural Network.
Andrew Chinonso Nwanakwaugwu, Ugochukwu Okwudili Matthew, Abdullahi Aminu Kazaure & Khalid Haruna. 2023. Handbook of Research on Cybersecurity Risk in Contemporary Business Systems. Handbook of Research on Cybersecurity Risk in Contemporary Business Systems 186 210 .
Ashik Bellary & S. N. Suresha. (2022) ANN Model to Predict Joint Stiffness of White-topped Pavements Using Falling Weight Deflectometer (FWD) Data. International Journal of Pavement Research and Technology 16:2, pages 370-384.
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Ramin Bayat, Siamak Talatahari, Amir H. Gandomi, Mohammadreza Habibi & Babak Aminnejad. (2023) Artificial Neural Networks for Flexible Pavement. Information 14:2, pages 62.
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Abdulaziz Aldegheishem, Nabil Alrajeh, Lorena Parra, Oscar Romero & Jaime Lloret. (2022) Driving Assistance System for Ambulances to Minimise the Vibrations in Patient Cabin. Electronics 11:23, pages 3965.
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Mumtaz Ahmad, Md Abdullah Al Mehedi, Munshi Md Shafwat Yazdan & Raaghul Kumar. (2022) Development of Machine Learning Flood Model Using Artificial Neural Network (ANN) at Var River. Liquids 2:3, pages 147-160.
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Zhiyuan Luo, Hui Wang & Shenglin Li. (2022) Prediction of International Roughness Index Based on Stacking Fusion Model. Sustainability 14:12, pages 6949.
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Miao Lin, Changbin Hu, Said M. Easa & Zhenliang Jiang. (2022) A New Approach to Predict Dynamic Loads Considering Highway Alignment Using Data Mining Techniques. Applied Sciences 12:11, pages 5719.
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Matúš Kozel, Ľuboš Remek, Michaela Ďurínová, Štefan Šedivý, Juraj Šrámek, Peter Danišovič & Vladimíra Hostačná. (2021) Economic Impact Analysis of the Application of Different Pavement Performance Models on First-Class Roads with Selected Repair Technology. Applied Sciences 11:21, pages 10409.
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