Course Description: This course covers the application of artificial intelligence to optimize multimodal freight operations, reducing transit times and costs.
Objectives:
- Understand AI applications in intermodal freight logistics.
- Utilize AI for demand forecasting and cargo distribution.
- Optimize real-time decision-making for multimodal transport.
- Implement machine learning for predictive congestion management.
- Enhance fuel efficiency through AI-driven logistics modeling.
- Reduce freight bottlenecks using smart routing algorithms.
- Integrate AI with IoT for real-time freight monitoring.
- Assess case studies of AI-driven multimodal optimization.
- Implement automated load balancing for intermodal freight.
- Develop an AI-based strategy for multimodal freight coordination.
