Course Description: This course delves into artificial intelligence applications in railway pavement management, focusing on predictive maintenance, data analytics, and automated inspection systems.
Objectives:
- Understand AI-driven predictive analytics in railway pavement management.
- Utilize machine learning algorithms to forecast pavement deterioration.
- Integrate IoT sensors for real-time pavement condition monitoring.
- Develop AI-based risk assessment models for railway infrastructure.
- Implement automated data processing for maintenance decision-making.
- Reduce maintenance costs through AI-optimized pavement performance tracking.
- Utilize digital twins for railway pavement lifecycle simulations.
- Assess case studies of AI-driven pavement monitoring solutions.
- Integrate cloud-based data platforms for enhanced pavement diagnostics.
- Develop an AI-powered strategy for long-term pavement management in railways.
