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Artificial Intelligence Technologies in the Development of the Russian Capital Transport Complex
- Authors: Kizlyk M.A.1, Khalikov T.R.1
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Affiliations:
- Moscow Metropolitan Governance Yury Luzhkov University
- Issue: No 2 (68) (2025): NO2 (68) (2025)
- Pages: 36-41
- Section: Articles
- URL: https://journals.rcsi.science/2541-8580/article/view/326391
- ID: 326391
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Abstract
Artificial intelligence (AI) presents significant opportunities to enhance the development of Moscow metropolitan transportation system, improving its efficiency, safety, and convenience. Current AI applications in the transportation sector include information security, interactive services (chatbots and virtual assistants), computer vision, generative AI, digital twins, traffic law enforcement, intelligent traffic management, and autonomous vehicles. Successfully implemented AI-driven projects in the capital include Face Pay (contactless fare payment via facial recognition), the "Moscow.River" Automated Information System (optimizing river transport), and "Incident Management" system (a video analytics system deployed on the Moscow Ring Road and key highways). Planned initiatives include the implementation of the "PROEvent" automated system (aggregating and processing information on incidents within the road network). Further advancement of AI technologies requires scaling existing systems and implementing new tools. Key conditions for success involve ensuring cybersecurity, protecting personal data, and balancing automation with human oversight. AI is becoming a critical driver in the transformation of Moscow's transportation system.
Keywords
About the authors
M. A. Kizlyk
Moscow Metropolitan Governance Yury Luzhkov University
Email: KizlykMA@transport.mos.ru
1st year PhD student in Management 28 Sretenka ulitsa, Moscow
T. R. Khalikov
Moscow Metropolitan Governance Yury Luzhkov University
Email: khalikovtr@transport.mos.ru
1st year PhD student in Management 28 Sretenka ulitsa, Moscow
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