from 01.01.2025 until now
Russian Federation
UDC 33
In the context of digital transformation of the urban environment, modernization of the transport system acquires strategic importance. The purpose of the study is to systematize the directions of artificial intelligence application in urban transport systems in Russia and to develop a model of their intellectualization levels. The research is based on the analysis and synthesis of scientific publications, comparative analysis of AI implementation practices, and a structural-logical approach to model development. Differences between operational and strategic levels of AI application are identified, and the necessity of their differentiation is substantiated. A model of intellectualization levels of the urban transport system and a digital maturity assessment matrix are proposed. The scientific novelty lies in the development of a conceptual model of intellectualization levels and their systematic classification. The practical significance is associated with the possibility of applying the model in planning the digital modernization of transport systems. Further research prospects include empirical validation of the proposed model.
urban transport system, artificial intelligence, intelligent transport systems, intellectualization, predictive management, urban mobility
1. Andreev E. O., Zhankaziev S. V., Zyryanov V. V., Pavlov A. S. Razvitie arhitektury intellektual'nyh transportnyh sistem // T-Comm – Telekommunikacii i transport. – 2024. – T. 18. – № 1. – S. 38–43. https://doi.org/10.36724/2072-8735-2024-18-1-38-43.
2. Baldin A. V., Eroshok I. D. Cifrovoe modelirovanie prakticheskih zadach na primere marshrutizacii gorodskoy transportnoy seti // Vestnik nauki. – 2020. – № 8 (29).
3. Glebov S. D., Sokolov M. S. Ocenka urovnya cifrovizacii transportnogo kompleksa Moskvy // Vestnik Moskovskogo gorodskogo pedagogicheskogo universiteta. Seriya: Ekonomika. – 2024. – № 2 (40). – S. 41–51. https://doi.org/10.25688/2312-6647.2024.40.2.03.
4. Grebenkina S. A., Grebenkina I. A., Blagodir A. L. Intellektual'nye transportnye sistemy kak faktor social'no-ekonomicheskogo razvitiya // Vestnik Permskogo nacional'nogo issledovatel'skogo politehnicheskogo universiteta. Social'no-ekonomicheskie nauki. – 2020. – № 2. – S. 317–329.
5. Didenko D. N. Iskusstvennyy intellekt na transporte segodnya // Aktual'nye issledovaniya. – 2025. – № 2 (237). – Ch. II. – S. 65–70.
6. Egorov S. V., Shacionok P. V., Erpyleva A. I., Zharkov D. I. Mirovoy i rossiyskiy opyt primeneniya intellektual'nyh transportnyh sistem // TDR. – 2022. – № 2.
7. Kuznecov S. A., Nikolaev V. A. Organizacionno-tehnicheskie aspekty vnedreniya intellektual'nyh transportnyh sistem v gorodskih aglomeraciyah // Ekonomika i upravlenie. – 2025. – T. 31. – № 6. – S. 728–737. https://doi.org/10.35854/1998-1627-2025-6-728-737.
8. Larin A. N., Larina I. V. Cifrovizaciya avtotransportnoy i zheleznodorozhnoy otrasley kak klyuchevoy element cifrovoy ekonomiki // Izvestiya Transsiba. – 2021. – № 4 (48). DOI: https://doi.org/10.30987/2223-4608-2021-12-3-6
9. Syrcova E. A. Effekty vnedreniya intellektual'nyh transportnyh sistem v regionah Rossii // Gosudarstvennoe upravlenie. Elektronnyy vestnik. – 2023. – № 101. – S. 159–169. https://doi.org/10.24412/2070-1381-2023-101-159-169.
10. Gheorghe, C., Soica, A. (2025) Revolutionizing urban mobility: A systematic review of AI, IoT, and predictive analytics in adaptive traffic control systems for road networks. Electronics. Vol. 14. No 4. DOI: https://doi.org/10.3390/electronics14040719. (In Eng.)
11. He, Y., Liu, B., Xu, C., Wu, D. (2025) Literature review on public transport and land use: Based on CiteSpace statistical analysis. Land. Vol. 14. No 5. DOI: https://doi.org/10.3390/land14051096. (In Eng.)
12. Jevinger, Å., Zhao, C., Persson, J. A. et al. (2024) Artificial intelligence for improving public transport: a mapping study. Public Transport. Vol. 16. pp. 99–158. DOI: https://doi.org/10.1007/s12469-023-00334-7. (In Eng.)
13. Michailidis, P., Michailidis, I., Lazaridis, C. R., Kosmatopoulos, E. (2025) Traffic signal control via reinforcement learning: A review on applications and innovations. Infrastructures. Vol. 10. No 5. DOI: https://doi.org/10.3390/infrastructures10050114. (In Eng.)
14. Rong, R., Ma, S., Ren, N. et al. (2025) Generative artificial intelligence in intelligent transportation systems: A systematic review of applications. Frontiers of Engineering Management. Vol. 12. pp. 1020–1036. DOI: https://doi.org/10.1007/s42524-025-4241-9. (In Eng.)
15. Zulkarnain, Putri T. D. (2021) Intelligent transportation systems (ITS): A systematic review using a Natural Language Processing approach. Heliyon. Vol. 7. No 12. DOI: https://doi.org/10.1016/j.heliyon.2021.e08615. (In Eng.)
