AI and Railyards - Marmon Rail

Student: Jose Luis Tejada Cavero, 2024-2025

This capstone project with Marmon Rail aims to integrate AI into a rail services corporation to generate real-time performance insights, identify significant bottlenecks, and enhance operational efficiency. With recent advancements in IoT device integration in rail yards, there is a wealth of new data ready to be processed and analyzed. This project will provide the strategic plan to inform and guide the implementation strategy.The student will conduct market research on current developments in AI integration and deliver a comprehensive roadmap for integrating AI into the company’s rail network.The project will analyze the impact of AI on efficiency metrics such as turnaround times and resource utilization. Additionally, the project will consider the infrastructure and data availability necessary for successful AI implementation, address potential challenges like integration with existing systems, and create a foundational prototype to demonstrate the proposed solutions.