Artificial Intelligence in Transit Corridor Management: Economic Efficiency Prospects of the Zangezur Corridor

Autoriai

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https://doi.org/10.69760/lumin.2026001006

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transit corridors##common.commaListSeparator## Zangezur Corridor##common.commaListSeparator## logistics optimization##common.commaListSeparator## economic efficiency

Santrauka

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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  • ##submission.authorWithAffiliation##

    MAMMADOV, M., Student of International Trade and Logistics, Nakhchivan State University. Email: muxtarmammadov@ndu.edu.az. ORCID: https://orcid.org/0009-0000-6538-498X   

  • ##submission.authorWithAffiliation##

    ALIZADA, S., Student of Technology Teacher Education, Nakhchivan State University. Email: sevgializade.edu@gmail.com. ORCID: https://orcid.org/0009-0003-8200-2770 

  • ##submission.authorWithAffiliation##

    MAMMADOV, N., Student of International Trade and Logistics, Nakhchivan State University. Email: nuridmammadov@ndu.edu.az. ORCID: https://orcid.org/0009-0000-8413-4572

  • ##submission.authorWithAffiliation##

    MAMMADOVA, X., Student of State and Public Relations, Nakhchivan State University. Email: xeyrensememmedova.edu@gmail.com. ORCID: https://orcid.org/0009-0003-2803-5010 

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Publikuota

2026-02-25

Numeris

##issue.vol## 3 Nr. 1 (2026): Spring

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Mammadov, M., Alizada, S., Mammadov, N., & Mammadova, X. (2026). Artificial Intelligence in Transit Corridor Management: Economic Efficiency Prospects of the Zangezur Corridor. Luminis Applied Science and Engineering, 3(1), 45-52. https://doi.org/10.69760/lumin.2026001006

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