Course Description: This course explores the application of artificial intelligence in railway safety, focusing on real-time hazard detection, predictive risk assessment, and automated response mechanisms.
Objectives:
- Understand AI-driven safety monitoring systems in rail transport.
- Implement machine learning models for real-time incident detection.
- Utilize AI-powered surveillance to enhance railway security.
- Develop predictive analytics for accident prevention.
- Integrate AI with IoT sensors for infrastructure monitoring.
- Enhance worker and passenger safety through AI automation.
- Assess global case studies on AI-based railway safety.
- Reduce human error using AI-assisted decision-making systems.
- Analyze regulatory compliance for AI-driven safety solutions.
- Design a roadmap for AI adoption in railway safety.