Physics-informed neural networks to advance pavement engineering and management
N Kargah-Ostadi, K Vasylevskyi, A Ablets… - Road Materials and …, 2024 - Taylor & Francis
Physics-informed neural networks (PINN) are machine learning (ML) algorithms that can
bridge the gap between our understanding of physical phenomena and the corresponding …
bridge the gap between our understanding of physical phenomena and the corresponding …
Driving standardization in infrastructure monitoring: a role for connected vehicles
R Bridgelall - Vehicles, 2023 - mdpi.com
This study tackles the urgent need for efficient condition monitoring of road and rail
infrastructure, which is integral to a nation's economic vitality. Traditional methods proved …
infrastructure, which is integral to a nation's economic vitality. Traditional methods proved …
Applications of using connected vehicle data for pavement quality analysis
Current quantitative methods to evaluate pavement conditions in the United States are most
commonly focused on construction acceptance using the International Roughness Index …
commonly focused on construction acceptance using the International Roughness Index …