Application of Artificial Intelligence for Improving Urban Mobility in Moscow

Subject. The relevance of the study of urban mobility in the context of the increasing number of urban residents and the growing transportation flows in major cities of Russia necessitates the application of artificial intelligence (AI) for the optimization of transportation systems. This article examines the challenges of urban mobility, the potential of AI to enhance transportation flows, and the impact of these technologies on the quality of life in megacities such as Moscow. Objectives. The aim of the research is to conduct a comprehensive analysis of urban mobility and to develop recommendations for its improvement through the use of AI. The study focuses on identifying deficiencies in existing systems and exploring potential solutions. Methodology. The research employs traditional scientific analysis methods, including analysis, synthesis, and comparison, as well as the results of an original sociological study based on in-depth interviews with 18 respondents conducted between September 10 and October 25, 2024. Results. The study revealed that the implementation of AI in urban mobility contributes to reduced travel times, optimized routes, and increased user awareness. Respondents noted significant improvements in Moscow’s transportation infrastructure over the past 2–3 years and expressed confidence that AI technologies will provide more benefits than potential drawbacks. Conclusions. For the effective development of urban mobility, it is essential to consider recommendations for the implementation of AI, including the establishment of cloud storage solutions, ensuring algorithmic impartiality, integrating technologies into emergency response services, and optimizing navigation systems. It is anticipated that further advancements in AI will lead to improvements in transportation infrastructure and an enhanced quality of life for urban residents.

1. Skinner R.E. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing. California, UC Berkeley. 2012. 220 p.

2. Barr A. Handbook of Artificial Intelligence. California, Los Altos. 1989. 442 p.

3. Solomоnov E.V. The concept and features of artificial intelligence. Herald of Omsk University. Series “Law”. 2023;(20,4):57–65. (In Russ.). DOI: 10.24147/1990-5173.2023.20

4. Tsvyk V.A., Tsvyk I.V., Tsvyk G.I.Artificial intelligence in modern society: Steps, challenges, strategies. RUDN Journal of Philosophy. 2024;(2):589–600. (In Russ.). DOI: 10.22363/2313-2302-2024-28-2-589-600

5. Parentoni L. What to expect from artificial intelligence? Russian Journal of Economics and Law. 2024;18(1):217–245. (In Russ.). DOI: 10.21202/2782-2923.2024.1.217-245

6. Merenkov A.O. Development of urban mobility in the context of urbanization of Russian cities. Innovation and investment. 2022;(11):285–290. URL: https://www.elibrary.ru/zmjhoz (In Russ.).

7. Romanov A.S. Prospects for the development of urban transport systems based on the concept of “Mobility as a Service”. Modern Transportation Systems and Technologies. 2022;(8, 2):5–16. (In Russ.). DOI: 10.17816/transsyst2022825–16

8. Dombrovsky A.N., Senin I.S., Kotenkova I.N., Mironova M.P. The impact of urban mobility on the sustainable development of territories. Humanities, socio-economic and social sciences. 2022;(4):197–200. (In Russ.). DOI: 10.23672/c0562-8204-9500-t

9. Grabaurov V.A.Intelligent transportation system innovative concept оf transport development. science & technique. 2014;(1):63–69. URL: https://sat.bntu.by/jour/article/view/98 (In Russ.).

10. Shcherbinina M.Yu., Stefanova N.A. The concept of the Internet of Things. Creative Economy. 2016;10(11):1323–1336. (In Russ.). DOI: 10.18334/ce.10.11.37074

11. Alferov O.L. The concept of “Smart City” is a project of intellectual infrastructure of human habitat. Social sciences and humanities. Russian and foreign literature. Series 4: State and Law. 2021;(1):140–150. (In Russ.). DOI: 10.31249/rgpravo/2021.01.15

12. Shepelev V.D., Almetova Z.V., Korzan M.A., Charbadze I.G. Traffic planning in the context of the “sustainable urban transport” system. Bulletin of the South Ural State University. Ser. Economics and Management. 2020;14(2):177–186. (In Russ.). DOI: 10.14529/em200218

13. Rajapova S.S., Negmatov N.N. Intellectualization of transport services — the key to the efficiency of the sector. Economy and Society. 2022;10–1(101):499–503. URL: https://sciup.org/140298673 (In Russ.).

14. Raskhodchikov A.N. Artificial intelligence and the “smart city”: From digitalization to the innovation city. Social and Political Sciences. 2022;12(4):47–54. (In Russ.). DOI: 10.33693/2223-0092-2022-12-4-47-54