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Volume 10
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Simulation Model and Intelligent Optimization Methods for Freight Transportation Under the Digital Transformation of the Transport System of the Republic of Kazakhstan

by
Aizhan Kamysbayeva
1,
Alisher Khussanov
2,*,
Botagoz Kaldybayeva
2,
Oleksandr Prokhorov
3,
Zhakhongir Khussanov
2,
Aibarsha Dosmakanbetova
2,
Baurzhan Korganbayev
2 and
Aikerim Issayeva
4
1
Department of Logistics, Satbayev University, Almaty 050013, Kazakhstan
2
Department of Technological Machines and Equipment, M. Auezov South Kazakhstan University, Shymkent 160012, Kazakhstan
3
Computer Sciences and Information Technologies Department, National Aerospace University “Kharkiv Aviation Institute”, 61070 Kharkiv, Ukraine
4
Department of Engineering and Petroleum Engineering, Regional Innovation University, Shymkent 160031, Kazakhstan
*
Author to whom correspondence should be addressed.
Logistics 2026, 10(5), 109; https://doi.org/10.3390/logistics10050109
Submission received: 7 April 2026 / Revised: 24 April 2026 / Accepted: 2 May 2026 / Published: 8 May 2026
(This article belongs to the Topic New Technological Solutions, Research Methods, Simulation and Analytical Models That Support the Development of Modern Transport Systems, 2nd Edition)
Versions Notes

Abstract

Background: In the context of the digital transformation of transport systems and the increasing complexity of logistics flows, the role of intelligent route forming methods capable of accounting for the spatial structure of transport networks, time constraints and resource limitations is growing. This issue is particularly relevant for the Republic of Kazakhstan, which is characterized by a vast territory, a distributed network of transport nodes and significant transit potential. Methods: This article presents an integrated model for the intelligent optimization of freight transportation based on the combined use of the Google OR-Tools library and simulation modeling in the AnyLogic environment with the application of geographic information technologies. The main variants of vehicle routing problems are implemented, including VRPTW, CVRP, and MDVRP. Results: The developed model enables both identification of optimal routes and simulation of their execution in a dynamic environment, forming the basis for a digital twin of the transport system. Experimental studies demonstrate the impact of time constraints, capacity limitations, and spatial structure on routing solutions. Conclusions: The results confirm the effectiveness of the proposed approach for logistics flow distribution in a distributed transport system and its potential for decision support in the digital transport sector.
Keywords: vehicle routing problem; intelligent logistics; digital twin; Google OR-Tools; AnyLogic; GIS-based routing; Kazakhstan Transport System vehicle routing problem; intelligent logistics; digital twin; Google OR-Tools; AnyLogic; GIS-based routing; Kazakhstan Transport System

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MDPI and ACS Style

Kamysbayeva, A.; Khussanov, A.; Kaldybayeva, B.; Prokhorov, O.; Khussanov, Z.; Dosmakanbetova, A.; Korganbayev, B.; Issayeva, A. Simulation Model and Intelligent Optimization Methods for Freight Transportation Under the Digital Transformation of the Transport System of the Republic of Kazakhstan. Logistics 2026, 10, 109. https://doi.org/10.3390/logistics10050109

AMA Style

Kamysbayeva A, Khussanov A, Kaldybayeva B, Prokhorov O, Khussanov Z, Dosmakanbetova A, Korganbayev B, Issayeva A. Simulation Model and Intelligent Optimization Methods for Freight Transportation Under the Digital Transformation of the Transport System of the Republic of Kazakhstan. Logistics. 2026; 10(5):109. https://doi.org/10.3390/logistics10050109

Chicago/Turabian Style

Kamysbayeva, Aizhan, Alisher Khussanov, Botagoz Kaldybayeva, Oleksandr Prokhorov, Zhakhongir Khussanov, Aibarsha Dosmakanbetova, Baurzhan Korganbayev, and Aikerim Issayeva. 2026. "Simulation Model and Intelligent Optimization Methods for Freight Transportation Under the Digital Transformation of the Transport System of the Republic of Kazakhstan" Logistics 10, no. 5: 109. https://doi.org/10.3390/logistics10050109

APA Style

Kamysbayeva, A., Khussanov, A., Kaldybayeva, B., Prokhorov, O., Khussanov, Z., Dosmakanbetova, A., Korganbayev, B., & Issayeva, A. (2026). Simulation Model and Intelligent Optimization Methods for Freight Transportation Under the Digital Transformation of the Transport System of the Republic of Kazakhstan. Logistics, 10(5), 109. https://doi.org/10.3390/logistics10050109

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