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Artificial Intelligence in Road Construction

Submission Deadline: 01 February 2025 View: 159 Submit to Special Issue

Guest Editors

Prof. Ramadhansyah Putra Jaya, University Malaysia Pahang Al-Sultan Abdullah, Malaysia
Dr. Reza Pahlevi Munirwan, Syiah Kuala University, Indonesia


Summary

Road construction deteriorates over time due to factors like traffic loading and environmental conditions. To address these challenges efficiently, Artificial Intelligence (AI) systems must be utilized. AI assists in scheduling preservation and rehabilitation treatments, thereby extending the service life and improving the performance of roads. AI is revolutionizing various industries, including road construction. AI is reshaping road construction by optimizing planning and design, enabling predictive maintenance, enhancing machinery performance, ensuring quality control, improving traffic management, reducing environmental impact, facilitating data-driven decision-making, and fostering continuous improvement. As AI technologies continue to evolve, the road construction industry stands to benefit from increased efficiency, safety, and sustainability.


This special issue welcomes new research contributions exploring novel theories, innovative methodologies, unique application strategies, and Investigations into the applications of AI in road construction.


Potential topics covered in this context may include, but are not confined to, the subsequent subjects:

· 3D Road Construction

· Machine learning in pavement asset management

· AI of road materials and structures

· AI in Pavement management system

· Multiple Linear Regression for modeling and predicting road construction

· Artificial Neural Network for predicting pavement distresses


Keywords

Artificial intelligence; Deep learning; Machine learning; Regression analysis; Road evaluation

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