## 7 Conclusions
Using this method, models of two operating stations are designed. The first station is Sukhovskaya, a freight station located in Russia; the second is Bailey Yard, a marshalling yard located in the USA. Thus, based on the numerical study of the constructed models, the following results are obtained:  
* the load on both stations is close to the maximum allowable value;
* there are limiting elements in both stations, the capacity of which needs to be increased. For Sukhovskaya station, these are the cargo and receiving yards, and for the West part of Bailey Yard, these are three departure yards;
* reducing the average service time in the cargo yard by 16% and in the receiving yard by 22% will increase the capacity of Sukhovskaya station by 55.2%;
* reducing the service time at the three departure yards of the West part of Bailey Yard by 20% will increase the total system's capacity by at least 12%;
* the Bailey Yard station operation model needs to be refined and expanded. Further research can be carried out in the following directions. The first is the improvement of the proposed approach through the use of a semi-Markovian service process. This can help us address the possibility of changes in the operating characteristics of service devices associated with breakdowns, temporary inactivity, or the transition of the system from day to night shifts. Taking these features into account is essential for a more accurate determination of various risks for both transport and other complex systems, in particular, information [18; 19]. The second direction concerns the expansion of the model approach to cross-border multimodal transport to study the conditions for the bullwhip effect and minimize its negative consequences. The third direction is related to applying the proposed approach to assessing the anthropogenic impact of transport on the environmental situation. Moreover, one of the directions for further research is the creation of an intelligent system based on the developed model-algorithmic and software apparatus [48] for the automatic construction and study of models of micro logistics transport systems' operation. **Author Contributions:** Conceptualization, I.B. and A.K. ; methodology, M.Z. and A.L. ; software, M.Z. and A.K. ; validation, I.B., A.K. and A.L. ; formal analysis, M.Z. ; investigation, A.K. and M.Z. ; resources, I.B. ; data curation, A.K. and M.Z. ; writing--original draft preparation, A.K. and M.Z. ; writing--review and editing, I.B. and A.L. ; visualization, M.Z. ; supervision, I.B. ; funding, I.B. All authors have read and agreed to the published version of the manuscript. **Funding:** The work was supported by the Ministry of Science and Higher Education of Russia, grant 075-15-2020-787 in the form of a subsidy for Major scientific projects on priority areas (the project \"Fundamentals, methods and technologies for digital monitoring and forecasting of the environmental situation on the Baikal natural territory\"). **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Informed consent was obtained from all subjects involved in the study. **Data Availability Statement:** Data are not publicly available, although the data may be made available on request from the corresponding author. **Conflicts of Interest:** The authors declare no conflict of interest.