When passenger flow is not properly managed in rail systems, it can lead to safety hazards, delays, and overall inefficiencies.
By implementing a carefully planned schedule, rail operators can ensure that trains are arriving and departing on time, which can help reduce overcrowding and delays.
In order to improve the performance of rail systems, this project presents a control method to regulate disturbed rail system using reinforcement learning.