[HTML][HTML] Predictive analytics for roadway maintenance: A review of current models, challenges, and opportunities
A Karimzadeh, O Shoghli - Civil Engineering Journal, 2020 - civilejournal.org
With the pressing need to improve the poorly rated transportation infrastructure, asset
managers leverage predictive maintenance strategies to lower the life cycle costs while …
managers leverage predictive maintenance strategies to lower the life cycle costs while …
Towards low-cost pavement condition health monitoring and analysis using deep learning
Governments are faced with countless challenges to maintain conditions of road networks.
This is due to financial and physical resource deficiencies of road authorities. Therefore, low …
This is due to financial and physical resource deficiencies of road authorities. Therefore, low …
Pavement monitoring using unmanned aerial vehicles: an overview
Pavement monitoring involves periodic damage detection and condition assessment of
pavements for efficient pavement management. Unmanned aerial vehicle (UAV)-based …
pavements for efficient pavement management. Unmanned aerial vehicle (UAV)-based …
Establishment of prediction models of asphalt pavement performance based on a novel data calibration method and neural network
This paper aims to develop models to forecast the deterioration of pavement conditions
including rutting, roughness, skid-resistance, transverse cracking, and pavement surface …
including rutting, roughness, skid-resistance, transverse cracking, and pavement surface …
Modeling of pavement roughness utilizing artificial neural network approach for Laos national road network
M Gharieb, T Nishikawa, S Nakamura… - Journal of Civil …, 2022 - ijspm.vgtu.lt
Abstract The International Roughness Index (IRI) has become the reference scale for
assessing pavement roughness in many highway agencies worldwide. This research aims …
assessing pavement roughness in many highway agencies worldwide. This research aims …
Development of roughness prediction models for Laos national road network
M Gharieb, T Nishikawa - CivilEng, 2021 - mdpi.com
The International Roughness Index (IRI) has been accepted globally as an essential
indicator for assessing pavement condition. The Laos Road Management System (RMS) …
indicator for assessing pavement condition. The Laos Road Management System (RMS) …
Development of an automated visibility analysis framework for pavement markings based on the deep learning approach
Pavement markings play a critical role in reducing crashes and improving safety on public
roads. As road pavements age, maintenance work for safety purposes becomes critical …
roads. As road pavements age, maintenance work for safety purposes becomes critical …
A machine learning methodology to predict alerts and maintenance interventions in roads
FJ Morales, A Reyes, N Caceres… - Road Materials and …, 2021 - Taylor & Francis
This contribution is about predicting maintenance alerts in roads and selecting the most
appropriate type of interventions recommended for preventing the occurrence of future …
appropriate type of interventions recommended for preventing the occurrence of future …
Application of Adaptive Neuro–Fuzzy Inference System for Forecasting Pavement Roughness in Laos
M Gharieb, T Nishikawa, S Nakamura, K Thepvongsa - Coatings, 2022 - mdpi.com
Laos Pavement Management System (PMS) manages 7700 km of National Roads (NRs)
and estimates their Maintenance and Rehabilitation (MR) needs based on assessing …
and estimates their Maintenance and Rehabilitation (MR) needs based on assessing …
[HTML][HTML] Evaluation of pavement condition deterioration using artificial intelligence models
MMM Elshamy, AN Tiraturyan, EV Uglova… - … Research (Rostov-on …, 2022 - cyberleninka.ru
Introduction. One of the most significant tasks facing road experts is to maintain the transport
network in good condition. The process of selecting an appropriate approach to providing …
network in good condition. The process of selecting an appropriate approach to providing …