A review on empirical methods of pavement performance modeling
This paper conducts a comprehensive review of empirical methods of pavement
performance modeling. The paper firstly analyzes performance measures used in existing …
performance modeling. The paper firstly analyzes performance measures used in existing …
Implementing life cycle cost analysis in road engineering: A critical review on methodological framework choices
B Moins, C France, A Audenaert - Renewable and Sustainable Energy …, 2020 - Elsevier
Life cycle cost analysis (LCCA) has received notable attention and application within the
road industry. As one of the three pillars in sustainability assessment, LCCA offers an …
road industry. As one of the three pillars in sustainability assessment, LCCA offers an …
Estimation of flexible pavement structural capacity using machine learning techniques
N Karballaeezadeh, H Ghasemzadeh Tehrani… - Frontiers of Structural …, 2020 - Springer
The most common index for representing structural condition of the pavement is the
structural number. The current procedure for determining structural numbers involves …
structural number. The current procedure for determining structural numbers involves …
Enhancing local road pavement condition prediction using Bayesian-optimized ensemble machine learning and adaptive synthetic sampling technique
Pavement condition prediction helps road agencies to schedule maintenance, rehabilitation,
and reconstruction, and to allocate limited funds and resources to such activities. Compared …
and reconstruction, and to allocate limited funds and resources to such activities. Compared …
Identifying the most suitable machine learning approach for a road digital twin
K Chen, M Eskandari Torbaghan, M Chu… - Proceedings of the …, 2022 - icevirtuallibrary.com
Road infrastructure systems have been suffering from ineffective maintenance strategies,
exaggerated by budget restrictions. A more holistic road-asset-management approach …
exaggerated by budget restrictions. A more holistic road-asset-management approach …
Smartphone-Based Cost-Effective Pavement Performance Model Development Using a Machine Learning Technique with Limited Data
S Wasiq, A Golroo - Infrastructures, 2024 - mdpi.com
Road networks play a significant role in each country's economy, especially in countries
such as Afghanistan, which is strategically located in the international transit path from …
such as Afghanistan, which is strategically located in the international transit path from …
[HTML][HTML] Physics-guided neural network for predicting international roughness index on flexible pavements considering accuracy, uncertainty and stability
K Chen, ME Torbaghan, N Thom… - Engineering Applications of …, 2025 - Elsevier
An outstanding amount of funds are allocated to maintain road network conditions. To
ensure the serviceability of roads, the accurate prediction of its roughness or International …
ensure the serviceability of roads, the accurate prediction of its roughness or International …
[HTML][HTML] A Machine Learning based approach to predict road rutting considering uncertainty
K Chen, ME Torbaghan, N Thom… - Case Studies in …, 2024 - Elsevier
Roads as vital public assets are the backbone for transportation systems and support
constant societal development. Recently, data-driven technologies such as digital twins and …
constant societal development. Recently, data-driven technologies such as digital twins and …
Predicting pavement performance using distress deterioration curves
A Abed, M Rahman, N Thom… - Road Materials and …, 2024 - Taylor & Francis
Highway Authorities in the UK use Surface Condition Assessment for the National Network
of Roads (SCANNER) in assessing and managing their road networks. This survey vehicle …
of Roads (SCANNER) in assessing and managing their road networks. This survey vehicle …
Machine Learning Applications in Road Pavement Management: A Review, Challenges and Future Directions.
Effective road pavement management is vital for maintaining the functionality and safety of
transportation infrastructure. This review examines the integration of Machine Learning (ML) …
transportation infrastructure. This review examines the integration of Machine Learning (ML) …