Road condition monitoring using smart sensing and artificial intelligence: A review
Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …
maintaining a large network of transport infrastructures. With advancements in computer …
Industry-and academic-based trends in pavement roughness inspection technologies over the past five decades: A critical review
Roughness is widely used as a primary measure of pavement condition. It is also the key
indicator of the riding quality and serviceability of roads. The high demand for roughness …
indicator of the riding quality and serviceability of roads. The high demand for roughness …
Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning
Rapid measurements of large-scale pavement roughness have long been a hot topic in
pavement condition evaluation and maintenance. Most traditional methods rely on …
pavement condition evaluation and maintenance. Most traditional methods rely on …
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 …
Road condition monitoring using vehicle built-in cameras and gps sensors: a deep learning approach
Road authorities worldwide can leverage the advances in vehicle technology by
continuously monitoring their roads' conditions to minimize road maintenance costs. The …
continuously monitoring their roads' conditions to minimize road maintenance costs. The …
CrackYOLO: Rural pavement distress detection model with complex scenarios
Y Li, S Sun, W Song, J Zhang, Q Teng - Electronics, 2024 - mdpi.com
The maintenance level of rural roads is relatively low, and the automated detection of
pavement distress is easily affected by the shadows of rows of trees, weeds, soil, and …
pavement distress is easily affected by the shadows of rows of trees, weeds, soil, and …
Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors
Stone pavements are present in many cities and their historical and cultural importance is
well recognized. However, there are no standard monitoring methods for this type of …
well recognized. However, there are no standard monitoring methods for this type of …
Multi-scale asphalt pavement deformation detection and measurement based on machine learning of full field-of-view digital surface data
Asphalt pavement deformation is a common phenomenon due to the material property and
traffic loads. Aiming at ensuring traffic comfort and safety, it is essential to constantly monitor …
traffic loads. Aiming at ensuring traffic comfort and safety, it is essential to constantly monitor …
Smartphone applications for pavement condition monitoring: A review
Pavement condition monitoring (PCM) systems are essential for making decisions on road
maintenance and rehabilitation toward preserving roads and airports assets in a good …
maintenance and rehabilitation toward preserving roads and airports assets in a good …
Evaluation framework for smartphone-based road roughness index estimation systems
Roughness is an important indicator of road deterioration and has a significant impact on
road serviceability. Conventional instruments for roughness measurement, such as laser …
road serviceability. Conventional instruments for roughness measurement, such as laser …