Joint Development of Transport Planning Documents and Intelligent Transport Systems

The article examines the problem of the fragmented application of transport planning tools and Intelligent Transport Systems (ITS) in urban agglomerations. The relevance of the study is driven by a 22% increase in the motorization rate in the Russian Federation between 2013 and 2023, alongside persistently high accident rates – in 2024, 132,037 road traffic accidents were recorded, resulting in 14,403 fatalities. The isolated use of these tools leads to local optimization, where improvements in one section worsen the situation on adjacent sections. The aim of this work is to analyze the effectiveness of the joint development of transport planning documents and local ITS projects, and to identify integration points. The methodology is based on systemic and legal and regulatory analysis, with the empirical foundation comprising data from Rosstat, the Ministry of Transport of the Russian Federation, and the results of ITS implementation in 62 agglomerations. Four types of integration points are formalized (informational, target-based, evaluative, and regulatory). A system of key performance indicators is proposed, covering criteria for road safety, traffic management, comfort, and environmental impact. Regulatory barriers are identified, including the absence of a mandatory transport model for the initial maturity levels of ITS. An iterative scheme «model - project - data - model» is substantiated. The conclusion is drawn that institutional changes are necessary to achieve a synergistic effect.

1. Bakanov, K. S., Lyakhov, P. V., Aysanov, A. S., et al. (2025). Road traffic accidents in the Russian Federation in 2024: Information and analytical review. FKU “NTS BDD MVD Rossii”. (in Russian)

2. Mayboroda, O. V., Chebyshev, A. E., & Pavlov, N. V. (2023). Analysis of ways to reduce CO2 emissions by vehicles. Avtomobilnyye Dorogi, 4(1097), 108–112. (in Russian)

3. Svistelnikov, A. A., Pavlov, N. V., & Valkovskaya, A. A. (2025). Standardization trends: Development and application of regulatory legal and normative technical documents in the field of artificial intelligence in the road transport complex. IT-Standart, 4(45), 50–57. (in Russian)

4. Svistelnikov, A. A., Pavlov, N. V., & Valkovskaya, A. A. (2025). Artificial intelligence in the road transport complex. Bezopasnyye i Kachestvennyye Dorogi, 5(34), 42–44. (in Russian)

5. Solodkiy, A. I. (2020). Development of intelligent transport systems in Russia: Problems and solutions. A new stage. Intellekt. Innovatsii. Investitsii, 6, 10–19. https://doi.org/10.25198/2077-7175-2020-6-10 (in Russian)

6. Metelkin, P. V. (2025). Impact of ITS on road traffic safety and regional development. Sistemy Bezopasnosti, 1(181), 40–43. (in Russian)

7. Belov, M. Yu., Svistelnikov, A. A., & Pavlov, N. V. (2025). Digitalization of traffic flow management – Partnership of modeling and implementation technologies. Avtomobilnyye Dorogi, (1129), 100–103. (in Russian)

8. Pavlov, N. V., Soldatenkov, A. V., & Platova, A. R. (2026). Evolution of the architecture of intelligent transport systems in the context of digital transformation of the transport complex of the Russian Federation. IT-Standart, 1(46), 11–19. (in Russian)

9. Mahrez, Z., Sabir, E., Badidi, E., Saad, W., & Sadik, M. (2022). Smart urban mobility: When mobility systems meet smart data. IEEE Transactions on Intelligent Transportation Systems, 23(7), –6239. https://doi.org/10.1109/TITS.2021.3084907

10. Markelov, V. M., Solovyev, I. V., & Tsvetkov, V. Ya. (2014). Intelligent transport systems as a management tool. Gosudarstvennyy Sovetnik, 3(7), 42–49. (in Russian)

11. Zhankaziyev, S. V., & Kondyk, D. N. (2026). Automated incident management as a tool for reducing response time to road traffic accidents. Vestnik Moskovskogo Avtomobilno-Dorozhnogo Gosudarstvennogo Tekhnicheskogo Universiteta (MADI), 1(84), 42–50. (in Russian)

12. Department for Transport. (2026). TAG unit M3.1: Highway assignment modelling. Retrieved July , 2026, from https://www.gov.uk/government/publications/tag-unit-m3-1-highway-assignment-modelling

13. Pavlov, N. V., Platova, A. R., Chekmarev, A. E., & Plotnikov, D. G. (2026). Principles of accessibility, safety and comfort in the design of tram junctions in Moscow. Moskovskiy Transport. Nauka i Proyektirovaniye, 1(5), 8–18. (in Russian)

14. Zhabrikov, M. V., Davydov, R. D., & Akhmadov, G. D. (2026). Forecast of ITS development in Russia until 2030. Avtomobilnyye Dorogi, 2(1131), 94–101. (in Russian)