Pavement roughness index estimation and anomaly detection using smartphones
The prevalence of smartphones among vehicle drivers presents exciting opportunities in
assessing pavement roughness in a more efficient and cost-effective manner, compared …
assessing pavement roughness in a more efficient and cost-effective manner, compared …
Response-based methods to measure road surface irregularity: A state-of-the-art review
Purpose With the development of smart technologies, Internet of Things and inexpensive
onboard sensors, many response-based methods to evaluate road surface conditions have …
onboard sensors, many response-based methods to evaluate road surface conditions have …
A deep learning approach to automatic road surface monitoring and pothole detection
B Varona, A Monteserin, A Teyseyre - Personal and Ubiquitous Computing, 2020 - Springer
Anomalies in road surface not only impact road quality but also affect driver safety, mechanic
structure of the vehicles, and fuel consumption. Several approaches have been proposed to …
structure of the vehicles, and fuel consumption. Several approaches have been proposed to …
Convolutional neural networks for pavement roughness assessment using calibration‐free vehicle dynamics
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 …
indicator for the needs of roadway maintenance or repavement, which is closely tied to the …
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 …
Prediction of the crack condition of highway pavements using machine learning models
Departments of Transportation regularly evaluate the condition of pavements through visual
inspections, nondestructive evaluations, image recognition models and learning algorithms …
inspections, nondestructive evaluations, image recognition models and learning algorithms …
Data-driven method of damage detection using sparse sensors installation by SEREPa
P Ghannadi, SS Kourehli - Journal of Civil Structural Health Monitoring, 2019 - Springer
This paper presents a model-based method of damage detection and severity identification
in structural elements. The model-based method is performed with a finite element model …
in structural elements. The model-based method is performed with a finite element model …
A review on the impacts of connected vehicles on pavement management systems
MS Entezari, A Golroo - International Journal of Pavement …, 2023 - Taylor & Francis
The advent of connected vehicles (CVs) starts a new era in the field of pavement evaluation.
With CVs on roads, the wide fleet of vehicles will constantly transmit pavement data to …
With CVs on roads, the wide fleet of vehicles will constantly transmit pavement data to …
Frequency-based modeling of a vehicle fitted with roll-plane hydraulically interconnected suspension for ride comfort and experimental validation
A frequency-based modeling approach has been developed for the vehicle fitted with
Hydraulically Interconnected Suspension (HIS) system. This frequency-based model has …
Hydraulically Interconnected Suspension (HIS) system. This frequency-based model has …
Research on the international roughness index threshold of road rehabilitation in metropolitan areas: A case study in Taipei city
SL Chen, CH Lin, CW Tang, LP Chu, CK Cheng - Sustainability, 2020 - mdpi.com
The International Roughness Index (IRI) is the standard scale for evaluating road roughness
in many countries in the world. The Taipei City government actively promotes a Road …
in many countries in the world. The Taipei City government actively promotes a Road …