The research aims to develop a simulation model of cargo transportation using block train technology. During the research, the author used analysis, mathematical statistics, tests, and simulation modeling. Based on the calculations, a 15% increase in the reserve leads to a 4.03-h increase in railway downtime. Simultaneously, terminal downtime decreases to 8.56 h. Additionally, 4.5 h are saved thanks to faster container sorting at the terminal during operations with consignors and consignees. Every day, different regions around the world experience unique seasonal patterns, along with distinct economic conditions and geopolitical or territorial differences. Container train transport is on the rise, highlighting the growing importance of analyzing container logistics. However, the container transportation market remains highly unstable, much like the broader transport and logistics flow system. The disorganized movement of container flows further contributes to this instability. The developed model will help predict the total number of containers daily, which usually await unloading by year and month. This will allow the development and implementation of effective strategic solutions in managing the entire process.