NTELLIGENT TECHNOLOGIES AND MODELING OF THE TRANSPORT AND LOGISTICS SYSTEM OF KAZAKHSTAN

Abstract

The transport and logistics system (TLS) of Kazakhstan plays a strategically important role in the development of the national economy and the country’s integration into the Europe–Asia international transport corridors. Given the increasing volume of foreign trade and transit cargo flows, modernization of the TLS using intelligent and digital technologies has become a key factor in enhancing sector efficiency. This study analyzes modern methods and models applied in managing transport and logistics processes, including the implementation of intelligent transport systems, simulation modeling, automation of logistics operations, and digital platforms for container and multimodal terminals. Special attention is paid to the use of artificial intelligence, neural network solutions, and Big Data for route optimization, cargo flow management, and logistics risk forecasting. Issues of human resource provision and the training of specialists in new profiles are also discussed. The results demonstrate that integrating intelligent technologies significantly improves the speed and accuracy of transport operations, reduces costs, enhances monitoring and infrastructure management, and strengthens Kazakhstan’s competitiveness on the international stage. The findings can be useful for researchers, transport and logistics professionals, and government agencies involved in developing the country’s transport infrastructure.