A review on empirical methods of pavement performance modeling

A Hu, Q Bai, L Chen, S Meng, Q Li, Z Xu - Construction and Building …, 2022 - Elsevier
This paper conducts a comprehensive review of empirical methods of pavement
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 …

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 …

Enhancing local road pavement condition prediction using Bayesian-optimized ensemble machine learning and adaptive synthetic sampling technique

N Elshaboury, MS Yamany, S Labi… - International Journal of …, 2024 - Taylor & Francis
Pavement condition prediction helps road agencies to schedule maintenance, rehabilitation,
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 …

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 …

[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 …

[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 …

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 …

Machine Learning Applications in Road Pavement Management: A Review, Challenges and Future Directions.

T Tamagusko, M Gomes Correia, A Ferreira - Infrastructures, 2024 - search.ebscohost.com
Effective road pavement management is vital for maintaining the functionality and safety of
transportation infrastructure. This review examines the integration of Machine Learning (ML) …