From lab to algorithm: a review of AI-driven predictive modeling in soil stabilization for road construction

Key Points

• Soil stabilization enhances road durability, with AI models improving predictive accuracy significantly.
• Evidence suggests AI-driven models achieve up to a 30% increase in prediction accuracy over traditional methods.
• Comprehensive review of various AI techniques demonstrates their applicability in real-world soil stabilization scenarios.
• Findings indicate potential for AI innovations to drive better decision-making in road construction, leading to enhanced safety.