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 …

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 …

Deep learning-based speed bump detection model for intelligent vehicle system using raspberry Pi

DK Dewangan, SP Sahu - IEEE sensors journal, 2020 - ieeexplore.ieee.org
Artificial intelligence in vision based approaches have proven to be effective in various
phases of intelligent vehicle system (IVS). An IVS has to intelligently take many critical …

[HTML][HTML] Road pavement condition diagnostics using smartphone-based data crowdsourcing in smart cities

M Staniek - Journal of traffic and transportation engineering …, 2021 - Elsevier
The purpose of the paper is to analyse the effectiveness of a solution known as road
condition tool (RCT) based on data crowdsourcing from smartphones users in the transport …

Driver's black box: A system for driver risk assessment using machine learning and fuzzy logic

AS Yuksel, S Atmaca - Journal of Intelligent Transportation …, 2021 - Taylor & Francis
Risky driving behaviors can cause accidents, which may result in major material and moral
damages. Due to the increase in road accidents, it has become an important issue to identify …

Sustainable road pothole detection: a crowdsourcing based multi-sensors fusion approach

H Xin, Y Ye, X Na, H Hu, G Wang, C Wu, S Hu - Sustainability, 2023 - mdpi.com
Real-time road quality monitoring, involves using technologies to collect data on the
conditions of the road, including information on potholes, cracks, and other defects. This …

Smartphone-based road manhole cover detection and classification

B Zhou, W Zhao, W Guo, L Li, D Zhang, Q Mao… - Automation in …, 2022 - Elsevier
Road surface condition detection is an important application for many intelligent
transportation systems (ITSs). A manhole cover depression is one of the common factors …

Detection and monitoring of bottom-up cracks in road pavement using a machine-learning approach

FG Praticò, R Fedele, V Naumov, T Sauer - Algorithms, 2020 - mdpi.com
The current methods that aim at monitoring the structural health status (SHS) of road
pavements allow detecting surface defects and failures. This notwithstanding, there is a lack …

Road scanner: A road state scanning approach based on machine learning techniques

A Mihoub, M Krichen, M Alswailim, S Mahfoudhi… - Applied Sciences, 2023 - mdpi.com
The state of roads may sometimes be difficult to perceive due to intense climate conditions,
absence of road signs, or simply human inattention, which may be harmful to both vehicles …

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 …