Intelligent Transportation Systems as Part of the National Interests of the Russian Federation

Author:

Grebenkina Svetlana1,Grebenkina Irina2

Affiliation:

1. Financial University under the Government of the Russian Federation

2. Moscow Financial and Industrial University "Synergy

Abstract

Hi-tech transport technologies are important for all spheres of life. Intelligent transportation systems implement the national interests of the Russian Federation, but the current sanctions prevent technological modernization. This article features the challenges and threats to the development of intelligent transportation systems, as well as their solutions and various means that would make it possible to introduce advanced transport technologies. The research relied on the methods of statistical, logical, systemic, and general scientific analyses. The authors described the key role of intelligent transportation systems in the national socio-economic, environmental, and security policies. They also identified the external and internal factors that hinder the high-tech development of the domestic transport complex. The article also contains a review of regulatory documents and scientific publications. The obtained results may be used to facilitate the development of intelligent transportation systems in the context of the sanctions.

Publisher

Kemerovo State University

Subject

Applied Mathematics,General Mathematics

Reference25 articles.

1. Гребенкина С. А., Гребенкина И. А., Благодир А. Л. Интеллектуальные транспортные системы как фактор социально-­экономического развития. Вестник Пермского национального исследовательского политехнического университета. Социально-экономические науки. 2020. № 2. С. 317–329. https://doi.org/10.15593/2224-9354/2020.2.23, Grebenkina S. A., Grebenkina I. A., Blagodir A. L. Intellectual transport systems as a factor of social and economic development. PNRPU Sociology and Economics Bulletin, 2020, (2): 317–329. (In Russ.) https://doi.org/10.15593/2224-9354/2020.2.23

2. Иванова Н. А. Цифровизация транспортного комплекса как важнейшее условие формирования современной транспортной инфраструктуры. Транспортное дело России. 2020. № 1. С. 71–75. EDN: AQAJCS, Ivanova N. A. Digitalization of the transport complex as the most important condition of forming modern transport infrastructure. Transport business of Russia, 2020, (1): 71–75. (In Russ.) EDN: AQAJCS

3. Рудакова Е. Н., Паньшин А. И., Власов А. В. Цифровизация как одна из тенденций развития транспорта и логистики в современных условиях. Путеводитель предпринимателя. 2021. Т. 14. № 1. С. 51–61. https://doi.org/10.24182/2073-9885-2021-14-1-51-61, Rudakova E. N., Panshin A. I., Vlasov A. V. Digitalization as one of trends of transport and logistics development in modern conditions. Putevoditel’ predprinimatelya, 2021, 14(1): 51–61. (In Russ.) https://doi.org/10.24182/2073-9885-2021-14-1-51-61

4. Gipps P. G. A behavioural car-following model for computer simulation. Transportation Research Part B: Methodological, 1981, 15(2): 105–111. https://doi.org/10.1016/0191-2615(81)90037-0, Gipps P. G. A behavioural car-following model for computer simulation. Transportation Research Part B: Methodological, 1981, 15(2): 105–111. https://doi.org/10.1016/0191-2615(81)90037-0

5. Liang Z., Wakahara Y. City traffic prediction based on real-time traffic information for intelligent transportation systems. 13th International Conference on ITS Telecommunications (ITST): Coll. Sci. Papers, Tampere, 5–7 Nov 2013. IEEE, 2013, 378–383. https://doi.org/10.1109/ITST.2013.6685576, Liang Z., Wakahara Y. City traffic prediction based on real-time traffic information for intelligent transportation systems. 13th International Conference on ITS Telecommunications (ITST): Coll. Sci. Papers, Tampere, 5–7 Nov 2013. IEEE, 2013, 378–383. https://doi.org/10.1109/ITST.2013.6685576

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