A systematic review on sustainable utilization of plastic waste in asphalt: assessing environmental and health impact, performance, and economic viability

R Mohammadi, M Ameri - Environmental Science and Pollution Research, 2024 - Springer
Increasing amount of plastic waste (PW) poses a global challenge that necessitates
multifaceted strategies. Repurposing PW in asphalt pavement is a sustainable strategy with …

Variational inequalities of multilayer viscoelastic systems with interlayer Tresca friction: Existence and uniqueness of solution and convergence of numerical solution

Z Zhang, X Nie, J Cao - Mathematical Methods in the Applied …, 2024 - Wiley Online Library
The mathematical model of multilayer viscoelastic system based on the actual structure of
asphalt pavement and the properties of its numerical solutions are studied. Firstly, based on …

Rutting extraction from vehicle-borne laser point clouds

X Ma, D Yue, J Li, R Wang, J Yu, R Liu, M Zhou… - Automation in …, 2024 - Elsevier
Rutting is a type of structural road damage that seriously affects traffic safety, and rutting
conditions are typically analyzed only from a two-dimensional cross-sectional perspective …

Roughness prediction of asphalt pavement using FGM (1, 1—sin) model optimized by swarm intelligence and Markov chain

Z Li, J Cao, H Shi, X Shi, T Ma, W Huang - Neural Networks, 2025 - Elsevier
The road traffic volumes are constantly increasing worldwide, leading to significant
challenges in maintaining asphalt pavements. Vehicular loads and environmental changes …

Probabilistic rutting model using NGBoost and SHAP: Incorporating other performance indicators

Z Zhou, J Cao, X Shi, W Zhang, W Huang - Construction and Building …, 2024 - Elsevier
This study focuses on accurately predicting rutting depth (RD) through a probabilistic
prediction model, which is crucial for timely road maintenance and traffic safety. Natural …

Enhancing rutting depth prediction in asphalt pavements: A synergistic approach of extreme gradient boosting and snake optimization

S Chen, J Cao, Y Wan, X Shi, W Huang - Construction and Building …, 2024 - Elsevier
This study investigates the development of pavement performance models, focusing on the
predictive analysis of pavement distress using ensemble machine learning methods. We …

An artificial-intelligence based approach for predicting structural damages of paved-road systems under superloads

Y Koh, H Ceylan, S Kim, IH Cho - Construction and Building Materials, 2024 - Elsevier
When studies on mechanistic-based pavement analysis and design are actively conducted,
highly-accurate and meaningful data related to structural damages caused by traffic loads …

Dynamic response analysis of vehicle–pavement-coupled system based on RIOHTrack full-size accelerated loading test

Y Wang, J Cao, W Huang, T Ma, Z Zhou - Construction and Building …, 2023 - Elsevier
The interaction between vehicles and asphalt pavements can cause different degrees of
damage to the pavement structure. Due to this interaction, deformation of pavement is …

QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction

Z Li, J Cao, X Shi, W Huang - Soft Computing, 2023 - Springer
Accurate assessment of road conditions can effectively alleviate traffic congestion and guide
people's travel plans, traffic control decisions of transportation departments, and formulation …

Predicting rutting development of pavement with flexible overlay using artificial neural network

C Cheng, C Ye, H Yang, L Wang - Applied Sciences, 2023 - mdpi.com
Pavement maintenance and repair is a crucial part of pavement management systems.
Accurate and reliable pavement performance prediction is the prerequisite for making …