Artificial Intelligence in Transit Corridor Management: Economic Efficiency Prospects of the Zangezur Corridor
DOI:
https://doi.org/10.69760/lumin.2026001006Keywords:
transit corridors, Zangezur Corridor, logistics optimization, economic efficiencyAbstract
Artificial Intelligence (AI) is increasingly transforming transit corridor management by enhancing operational efficiency, enabling predictive logistics, and optimizing cross-border trade flows. The Zangezur Corridor, as a strategically important transport route connecting Azerbaijan with regional and global markets, offers substantial opportunities for AI-driven modernization. The integration of intelligent transport systems, real-time data analytics, automated customs procedures, and predictive risk assessment mechanisms can significantly reduce operational costs, shorten delivery times, and improve reliability in freight movement. Moreover, AI-based coordination platforms can strengthen institutional cooperation among regional stakeholders and enhance supply chain transparency. The digitalization of corridor infrastructure is expected to improve resilience, sustainability, and long-term economic competitiveness. By leveraging AI technologies in transport planning, monitoring, and logistics management, the Zangezur Corridor can evolve into a technologically advanced transit hub, contributing to economic diversification and sustainable growth in the South Caucasus region.
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