A review on empirical methods of pavement performance modeling
This paper conducts a comprehensive review of empirical methods of pavement
performance modeling. The paper firstly analyzes performance measures used in existing …
performance modeling. The paper firstly analyzes performance measures used in existing …
Automated decision making in highway pavement preventive maintenance based on deep learning
Decision-making in highway preventive maintenance (PM) is generally costly and
complicated. An inappropriate maintenance strategy could yield a low efficiency of budget …
complicated. An inappropriate maintenance strategy could yield a low efficiency of budget …
Intelligent decision-making model in preventive maintenance of asphalt pavement based on PSO-GRU neural network
The milage of asphalt pavement growth explosively around the world in the past decades
resulted in a tremendous maintenance workload. Preventive maintenance (PM) is an …
resulted in a tremendous maintenance workload. Preventive maintenance (PM) is an …
Hybrid gradient boosting with meta-heuristic algorithms prediction of unconfined compressive strength of stabilized soil based on initial soil properties, mix design and …
VQ Tran - Journal of Cleaner Production, 2022 - Elsevier
In the investigation, hybrid Gradient Boosting (GB) with four optimization techniques named
Simulated Annealing (SA), Random Restart Hill Climbing (RRHC), Particle Swarm …
Simulated Annealing (SA), Random Restart Hill Climbing (RRHC), Particle Swarm …
A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression
H Naseri, H Jahanbakhsh, A Foomajd… - … Journal of Pavement …, 2023 - Taylor & Francis
Developing an accurate pavement prediction model plays a dominant role in pavement
M&R optimization. Despite employing different robust machine learning techniques to …
M&R optimization. Despite employing different robust machine learning techniques to …
Automatic detection of cracks in asphalt pavement using deep learning to overcome weaknesses in images and GIS visualization
Featured Application This technology can contribute to improving the efficiency and
accuracy of pavement inspection. Abstract The crack ratio is one of the indices used to …
accuracy of pavement inspection. Abstract The crack ratio is one of the indices used to …
International Roughness Index prediction for flexible pavements using novel machine learning techniques
MR Kaloop, SM El-Badawy, JW Hu… - … Applications of Artificial …, 2023 - Elsevier
Abstract International Roughness Index (IRI) is an important pavement performance
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …
Development of pavement roughness models using Artificial Neural Network (ANN)
YI Alatoom, TI Al-Suleiman - International Journal of Pavement …, 2022 - Taylor & Francis
Pavement roughness in terms of the International Roughness Index (IRI) plays an important
role in determining the riding quality of road networks. Moreover, it is considered as a …
role in determining the riding quality of road networks. Moreover, it is considered as a …
Highway performance prediction model of International Roughness Index based on panel data analysis in subtropical monsoon climate
X Sun, H Wang, S Mei - Construction and Building Materials, 2023 - Elsevier
Pavement performance prediction is the crucial basis for decision-making of Pavement
Management Systems (PMS). Pavement roughness is not only related to safety and comfort …
Management Systems (PMS). Pavement roughness is not only related to safety and comfort …
Pavement roughness prediction using explainable and supervised machine learning technique for long-term performance
Maintaining and rehabilitating pavement in a timely manner is essential for preserving or
improving its condition, with roughness being a critical factor. Accurate prediction of road …
improving its condition, with roughness being a critical factor. Accurate prediction of road …