[HTML][HTML] Road condition monitoring using smart sensing and artificial intelligence: A review

E Ranyal, A Sadhu, K Jain - Sensors, 2022 - mdpi.com
Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …

Recent computer vision applications for pavement distress and condition assessment

H Ayman, MW Fakhr - Automation in Construction, 2023 - Elsevier
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

[HTML][HTML] Response-based methods to measure road surface irregularity: A state-of-the-art review

T Nguyen, B Lechner, YD Wong - European Transport Research Review, 2019 - Springer
Purpose With the development of smart technologies, Internet of Things and inexpensive
onboard sensors, many response-based methods to evaluate road surface conditions have …

[HTML][HTML] Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada

C Zhang, E Nateghinia, LF Miranda-Moreno… - International Journal of …, 2022 - Elsevier
Pavement distresses, including cracking and disintegration, deteriorate road user's comfort,
damage vehicles, increase evasive maneuvers, and increase emissions. Transportation …

[HTML][HTML] Structural health monitoring of asphalt pavements using smart sensor networks: A comprehensive review

A Di Graziano, V Marchetta, S Cafiso - Journal of Traffic and Transportation …, 2020 - Elsevier
Early, effective and continuous monitoring allows to reduce costs and to extend life of road
infrastructure. For this reason, over the years, more and more efforts have been made to …

[HTML][HTML] Towards low-cost pavement condition health monitoring and analysis using deep learning

R Roberts, G Giancontieri, L Inzerillo, G Di Mino - Applied Sciences, 2020 - mdpi.com
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 …

Deep machine learning approach to develop a new asphalt pavement condition index

H Majidifard, Y Adu-Gyamfi, WG Buttlar - Construction and building …, 2020 - Elsevier
Pavement condition assessment provides information to make more cost-effective and
consistent decisions regarding management of pavement network. Generally, pavement …

Convolutional neural networks for pavement roughness assessment using calibration‐free vehicle dynamics

JH Jeong, H Jo, G Ditzler - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Road roughness is a measure of how uncomfortable a ride is, and provides an important
indicator for the needs of roadway maintenance or repavement, which is closely tied to the …

[HTML][HTML] Machine learning algorithms for monitoring pavement performance

S Cano-Ortiz, P Pascual-Muñoz… - Automation in …, 2022 - Elsevier
This work introduces the need to develop competitive, low-cost and applicable technologies
to real roads to detect the asphalt condition by means of Machine Learning (ML) algorithms …

[HTML][HTML] The state-of-the-art review on applications of intrusive sensing, image processing techniques, and machine learning methods in pavement monitoring and …

Y Hou, Q Li, C Zhang, G Lu, Z Ye, Y Chen, L Wang… - Engineering, 2021 - Elsevier
In modern transportation, pavement is one of the most important civil infrastructures for the
movement of vehicles and pedestrians. Pavement service quality and service life are of …