Seismic vulnerability assessment methodologies for roadway assets and networks: A state-of-the-art review

AM El-Maissi, SA Argyroudis, FM Nazri - Sustainability, 2020 - mdpi.com
Road networks are considered as one of the most important transport infrastructure systems,
since they attain the economic and social prosperity of modern societies. For this reason, it is …

A review of road surface anomaly detection and classification systems based on vibration-based techniques

EA Martinez-Ríos, MR Bustamante-Bello… - Applied Sciences, 2022 - mdpi.com
Road surfaces suffer from sources of deterioration, such as weather conditions, constant
usage, loads, and the age of the infrastructure. These sources of decay generate anomalies …

Automatic detection of asphalt pavement raveling using image texture based feature extraction and stochastic gradient descent logistic regression

ND Hoang - Automation in Construction, 2019 - Elsevier
Raveling is one of the critical and pervasive modes of failure observed in asphalt pavement
road. Automatic detection of raveling based on image samples is a challenging task due to …

Automated pavement patch detection and quantification using support vector machines

GM Hadjidemetriou, PA Vela… - Journal of Computing in …, 2018 - ascelibrary.org
Pavement condition evaluation provides transportation authorities with decision support
tools for the selection of appropriate repair or replace actions, thus preventing the possibility …

Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning

VMA Souza, R Giusti, AJL Batista - Pervasive and Mobile Computing, 2018 - Elsevier
Modern smartphones have a large variety of built-in sensors that can measure different
information about users and the environment around them. Given the increasing popularity …

BIM-based pavement management tool for scheduling urban road maintenance

C Oreto, L Massotti, SA Biancardo, R Veropalumbo… - Infrastructures, 2021 - mdpi.com
The latest advancements in road asphalt materials and construction technologies have
increased the difficulty for engineers to select the appropriate pavement design solution with …

A deep learning model for road damage detection after an earthquake based on synthetic aperture radar (SAR) and field datasets

S Karimzadeh, M Ghasemi, M Matsuoka… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
This article is a new assessment of damaged roads after the Kumamoto earthquake in
southern Japan (2016) using remotely sensed synthetic aperture radar (SAR) data, field …

Road surface anomaly assessment using low-cost accelerometers: a machine learning approach

A Martinelli, M Meocci, M Dolfi, V Branzi, S Morosi… - Sensors, 2022 - mdpi.com
Roads are a strategic asset of a country and are of great importance for the movement of
passengers and goods. Increasing traffic volume and load, together with the aging of roads …

Persistent scatterer interferometry (PSI) technique for the identification and monitoring of critical landslide areas in a regional and mountainous road network

C Nefros, S Alatza, C Loupasakis, C Kontoes - Remote Sensing, 2023 - mdpi.com
A reliable road network is a vital local asset, connecting communities and unlocking
economic growth. Every year landslides cause serious damage and, in some cases, the full …

Hybrid v2x and drone-based system for road condition monitoring

SM Bhat, A Venkitaraman - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
Effective and reliable road condition monitoring systems are essential for ensuring the safety
and utility of transportation systems. This paper presents a road condition monitoring system …