[HTML][HTML] Combined use of GPR and other NDTs for road pavement assessment: An overview

A Elseicy, A Alonso-Díaz, M Solla, M Rasol… - Remote Sensing, 2022 - mdpi.com
Roads are the main transportation system in any country and, therefore, must be maintained
in good physical condition to provide a safe and seamless flow to transport people and …

[HTML][HTML] Exploring smart tires as a tool to assist safe driving and monitor tire–road friction

M Pomoni - Vehicles, 2022 - mdpi.com
Road surface friction, or in other words, a pavement's skid resistance, is an essential
attribute of highway safety, acting as a liaison between the infrastructure condition and the …

Sensor-Based Structural Health Monitoring of Asphalt Pavements with Semi-Rigid Bases Combining Accelerated Pavement Testing and a Falling Weight …

Z Liu, B Cui, Q Yang, X Gu - Sensors, 2024 - mdpi.com
The Structural Health Monitoring (SHM) of pavement infrastructures holds paramount
significance in the assessment and prognostication of the remaining service life of …

Laboratory investigation of traffic effect on the long-term skid resistance of asphalt pavements

M Yu, Z Yang, Z You, Y Luo, J Li, L Yang - Construction and Building …, 2023 - Elsevier
To evaluate the skid resistance performance of asphalt pavement under cumulative wheel
load and overload, an orthogonal test considering factors such as total traffic volume …

Vehicle system dynamics in digital twin studies in rail and road domains

M Spiryagin, J Edelmann, F Klinger… - Vehicle system …, 2023 - Taylor & Francis
A digital twin is aimed to be a virtual model designed to accurately replicate a physical
system in the digital world. This is why digital twins have become quite popular in recent …

[HTML][HTML] Assessing surface texture features of asphalt pavement based on three-dimensional laser scanning technology

B Chen, C Xiong, W Li, J He, X Zhang - Buildings, 2021 - mdpi.com
Pavement surface texture features are one of key factors affecting the skid resistance of
pavement. In this study, a set of stable and reliable texture measurement equipment was …

FriC-PM: Machine Learning-based road surface friction coefficient predictive model using intelligent sensor data

M Rasol, F Schmidt, S Ientile - Construction and Building Materials, 2023 - Elsevier
Providing a robust traffic management system is a given for road authorities today, for safer
mobility and reliable day-to-day operations. Therefore, to improve traffic management …

Water-film depth assessment for pavements of roads and airport runways: A review

J Ling, F Yang, J Zhang, P Li, MDI Uddin… - Construction and Building …, 2023 - Elsevier
Water accumulating on pavement surfaces is a major reason to cause an accident on roads
and airport runways, and water-film depth is a significant number to assess the safety …

[HTML][HTML] Application of Machine Learning Models to the Analysis of Skid Resistance Data

A Koné, A Es-Sabar, MT Do - Lubricants, 2023 - mdpi.com
This paper evaluates the ability of some state-of-the-art Machine Learning models, namely
SVM (support vector machines), DT (decision tree) and MLR (multiple linear regression), to …

[HTML][HTML] Influence of morphological characteristics of coarse aggregates on skid resistance of asphalt pavement

Y Dong, Z Wang, W Ren, T Jiang, Y Hou, Y Zhang - Materials, 2023 - mdpi.com
This research aims to improve the durability of skid resistance of asphalt pavement from the
perspective of coarse aggregates based on on-site investigation. Firstly, the skid resistance …