Optimization-based method for effective organization of local wagon-flows

The article presents an optimization-based method for improving the organization of local wagon-flows within regional railway networks. The study addresses the issue of excessive wagon downtime and uneven freight turnover caused by the inefficient interaction between pickup trains and shunting-separate locomotives (ShSPL). A dynamic mathematical model has been developed to minimize the total idle time of wagons and optimize the distribution of train operations among intermediate and supporting stations. The model incorporates stochastic variations in wagon arrivals, track capacity limitations, and station workload balance. Validation of the proposed optimization technique was performed using operational data from the Uzbek Railways (UTY JSC). The implementation of the optimized ShSPL-based scheme reduced the total wagon idle time by 35-40 % and increased the average section speed by 15-20 %. The results demonstrate the model’s ability to enhance operational efficiency without additional infrastructure investments. The proposed approach provides a foundation for digital optimization of local railway operations and can be applied in planning systems aimed at improving resource utilization, reducing unproductive downtime, and ensuring sustainable development of the transport sector.