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18-06-2025 1996-1998 60 27

FREIGHT FLOW SIMULATION AND OPTIMIZATION ON THE UZBEKISTAN–KYRGYZSTAN–CHINA RAILWAY USING AGENT-BASED MODELING

In the era of globalized trade and interconnected supply chains, efficient freight transportation systems are essential for economic growth. Central Asia’s geographic position between Europe and East Asia offers unique opportunities to develop strategic land-based corridors. The proposed Uzbekistan–Kyrgyzstan–China (UKC) railway is expected to become a vital link in the Belt and Road Initiative (BRI), facilitating cargo transport between China and Central Asia, and further extending to Europe and the Middle East.Despite its potential, the UKC railway’s operational efficiency remains unexplored in terms of route performance, throughput, and customs-related bottlenecks. This paper aims to evaluate and simulate freight flow along the proposed UKC corridor using agent-based modeling (ABM), identifying key constraints and optimization strategies. By leveraging modern simulation tools, we assess how logistics  performance can be enhanced through digitalization, infrastructure development, and institutional coordination.

 

 
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Shuxrat Bo‘riyev, Alovuddin Boymurzayev , Umidjon Xakimov, COMPARATIVE ANALYSIS OF TRANSIT COMPETITIVENESS: UKC RAILWAY VS. KAZAKHSTAN AND IRAN CORRIDORS , International Journal of Artificial Intelligence: Vol. 1 No. 4 (2025): International journal of artificial intelligence

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FREIGHT FLOW SIMULATION AND OPTIMIZATION ON THE UZBEKISTAN–KYRGYZSTAN–CHINA RAILWAY USING AGENT-BASED MODELING. (2025). International Journal of Artificial Intelligence, 1(4), 1996-1998. https://doi.org/10.71337/inlibrary.uz.ijai.107911
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