Results 331 to 340 of about 493,639 (383)

A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression

International Journal of Pavement Engineering, 2022
Developing an accurate pavement prediction model plays a dominant role in pavement M&R optimization. Despite employing different robust machine learning techniques to predict pavement conditions, these methods have some weaknesses in synchronising with ...
Hamed Naseri, H. Jahanbakhsh, Amirabbas Foomajd, Narek Galustanian, Mohammad M. Karimi, E. O. D. Waygood   +5 more
semanticscholar   +1 more source

An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree

International Journal of Pavement Engineering, 2021
This paper proposes an ensemble learning model that deploys a Gradient Boosting Decision Tree (GBDT) to predict two relevant functional indices, the International roughness index (IRI) and the rut depth (RD), considering multiple influence factors.
Runhua Guo, Donglei Fu, G. Sollazzo
semanticscholar   +1 more source

Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index

, 2020
Understanding the deterioration of roads is an important part of road asset management. In this study, the long-term pavement performance (LTPP) data and machine learning algorithms were us...
S. M. Piryonesi, T. El-Diraby
semanticscholar   +1 more source

Multiple distresses detection for Asphalt Pavement using improved you Only Look Once Algorithm based on convolutional neural network

International Journal of Pavement Engineering
Leveraging the YOLOv7 object detection framework, this study introduces YOLOv7-CSP, a refined algorithm tailored for identifying asphalt pavement distress with enhanced precision.
Han-Cheng Dan, Peng Yan, Jiawei Tan, Yinchao Zhou, Bingjie Lu   +4 more
semanticscholar   +1 more source

Establishment of probabilistic prediction models for pavement deterioration based on Bayesian neural network

International Journal of Pavement Engineering, 2022
The process of pavement deterioration involves uncertainties, and neural networks have been widely used in pavement performance prediction due to their high accuracy.
Feng Xiao, Xinyu Chen, Jianchuan Cheng, Shunxin Yang, Yang Ma   +4 more
semanticscholar   +1 more source

Deep Metric Learning-Based for Multi-Target Few-Shot Pavement Distress Classification

IEEE Transactions on Industrial Informatics, 2021
Pavement distress detection is of great significance for road maintenance and to ensure road safety. At present, detection methods based on deep learning have achieved outstanding performance in related fields.
Hongwen Dong, Kechen Song, Qi Wang, Yunhui Yan, Peng Jiang   +4 more
semanticscholar   +1 more source

Deep reinforcement learning for long‐term pavement maintenance planning

Comput. Aided Civ. Infrastructure Eng., 2020
Inappropriate maintenance and rehabilitation strategies cause many problems such as maintenance budget waste, ineffective pavement distress treatments, and so forth.
L. Yao, Qiao Dong, Jiwang Jiang, F. Ni
semanticscholar   +1 more source

Machine learning approach for pavement performance prediction

International Journal of Pavement Engineering, 2019
In recent years, there has been an increasing interest in the application of machine learning for the prediction of pavement performance. Prediction models are used to predict the future pavement condition, helping to optimally allocate maintenance and ...
P. Marcelino, Maria de Lurdes Antunes, E. Fortunato, M. Gomes   +3 more
semanticscholar   +1 more source

A comprehensive study on the performance of alkali activated fly ash/GGBFS geopolymer concrete pavement

International Journal on Road Materials and Pavement Design, 2021
Geopolymer concrete is gaining a lot of attention among researchers across the globe due to its potential contribution to sustainability. Several studies have considered the use of geopolymer concrete for structural elements, but limited attempts have ...
Aishwarya Badkul, R. Paswan, S. Singh, J. P. Tegar   +3 more
semanticscholar   +1 more source

A real-time crack detection algorithm for pavement based on CNN with multiple feature layers

International Journal on Road Materials and Pavement Design, 2021
Conventional algorithms are not sensitive to small objects like pavement cracks. We developed a pavement crack detection method based on a convolutional neural network (CNN) with multiple feature layers.
Duo Ma, Hongyuan Fang, Niannian Wang, Binghan Xue, Jiaxiu Dong, Fu Wang   +5 more
semanticscholar   +1 more source