Feasibility of machine learning application in pavement life cycle assessment: A review

Key Points

• Machine learning shows promise for improving life cycle assessment accuracy in pavement design, enhancing sustainability.
• Key evidence points to various machine learning models tested across different datasets for pavement evaluation.
• Observational analysis identifies current limitations and potential areas for data-driven solutions in pavement life cycle assessments.
• Highlights the need for further research to integrate machine learning effectively in pavement sustainability practices.