Top.Mail.Ru
Preview

Vestnik Universiteta

Advanced search

IMPROVING THE EFFICIENCY OF URBAN TRANSPORT INFRASTRUCTURE BASED ON DIGITAL TECHNOLOGIES

https://doi.org/10.26425/1816-4277-2020-7-68-75

Abstract

The need to improve the efficiency of transport infrastructure, which is an important subsystem of urban services as a determinant of the quality of life of the city’s population, has been substantiated. The factors that determine the quality of the urban transport system, the features of urban transport have been highlighted. Transport infrastructure development in Russia has been analysed. It has been proved that in the conditions of the formation of the digital economy, artificial intelligence systems are an effective tool for decision-making. In the formation of intelligent systems for managing urban transport flows, the use of network models has been proposed, for which mathematical methods are necessary to obtain not only point, but also interval estimates of the model parameters, taking into account a priori uncertainty.

About the Authors

S. N. Gagarina
Kaluga State University named after K. E. Tsiolkovski
Russian Federation

Candidate of Economic Sciences,

Kaluga



N. N. Chausov
Kaluga State University named after K. E. Tsiolkovski
Russian Federation

Graduate Student, 

Kaluga



V. N. Levkina
Kaluga State University named after K. E. Tsiolkovski
Russian Federation

Student, 

Kaluga



References

1. Federal’nyi zakon “Ob avtomobil’nykh dorogakh i o dorozhnoi deyatel’nosti v Rossiiskoi Federatsii i o vnesenii izmenenii v otdel’nye zakonodatel’nye akty Rossiiskoi Federatsii” ot 8 noyabrya 2007 g. № 257-FZ (red. оt 01.03.2020) [Federal law “On Roads and Road Activities in the Russian Federation and on Amending Certain Legislative Acts of the Russian Federation” No. 257-FZ, dated on November 8, 2007]. Legal reference system “ConsultantPlus”. Available at: http://www.consultant.ru/document/cons_doc_LAW_72386/ (accessed 05.05.2020).

2. Abdrakhmanova G. I., Vishnevskii K. O., Gokhberg L. M. [et al]. Indikatory tsifrovoi ekonomiki: 2019: statisticheskii sbornik [Indicators of the digital economy: 2019: statistical compilation]. Nats. Issled. un-t “Vysshaya shkola ekonomiki” [National Research University “Higher School of Economics”]. Мoscow, NIU VShE, 2019. 248 p.

3. Gagarina S. N., Chausov N. Yu. Ekonomiko-statisticheskaya otsenka kak instrument upravleniya kachestvom zhizni naseleniya v tselyakh ustoichivogo razvitiya regiona [Economic and statistical assessment as a tool for managing the quality of life of the population for the sustainable development of the region]. Vestnik universiteta, 2016, no. 12, pp. 5-11.

4. Gagarin Yu. E., Gagarina S. N. Interval’noe otsenivanie ob”emov potrebleniya resursov pri stokhasticheskikh iskhodnykh dannykh [Interval estimation of resource consumption with stochastic input data]. Vestnik universiteta, 2018, no. 12. pp. 64-70.

5. Gagarin Yu. E. Uchet mnozhestva sluchainykh faktorov pri ispol’zovanii minimaksnogo kriteriya v zadachakh raspoznavaniya ob”ektov [Taking into account many random factors when using the minimax criterion in object recognition problems]. Modelirovanie, optimizatsiya i informatsionnye tekhnologii [Modeling, Optimization and Information Technology], 2019, vol. 7, no. 1 (24), pp. 89-98.

6. Zemtsov S., Barinova V., Semenova R. Riski tsifrovizatsii i adaptatsiya regional’nykh rynkov truda v Rossii [Risks of digitalization and adaptation of regional labor markets in Russia]. Forsait [Foresight], 2019, vol. 13, no. 2, pp. 84-96.

7. Popov E. V., Semyachkov K. A. Sistematizatsiya podkhodov k otsenke razvitiya umnykh gorodov [Systematization of approaches to assessing the development of smart cities]. Ekonomika regiona [Economy of Region], 2020, vol. 16, no. 1, pp. 14-27.

8. Taha H.A. Vvedenie v issledovanie operatsii [Introduction to operations research]. Moscow, Izdatel’skii dom “Vil’yams”, 2007. 912 p.

9. Indeks global’noi konkurentosposobnosti [Global Сompetitiveness Index]. Available at: https://gtmarket.ru/ratings/global-competitiveness-index/info (accessed 30.04.2020).

10. Ofitsial’nyi sait Federal’noi sluzhby gosudarstvennoi statistiki [Official website of the Federal State Statistics Service]. Available at: https://gks.ru/folder/210/document/13204 (accessed 01.05.2020).

11. Pasport prioritetnogo proekta “Bezopasnye i kachestvennye dorogi” v redaktsii protokola ot 21 noyabrya 2016 g. № 10 [Passport of the Priority Project “Safe and High-Quality Roads” in the version of the Protocol No. 10, dated on November 21, 2016]. Available at: http://static.government.ru/media/files/5EgAG7vBB8Y9iKqkhPBaGzh7dAml5Hhz.pdf (accessed 01.05.2020).

12. Proekt “Umnyi gorod” [Smart City Project]. Available at: https://www.minstroyrf.ru/trades/gorodskaya-sreda/proekt-tsifrovizatsii-gorodskogo-khozyaystva-umnyy-gorod/ (accessed 30.04.2020).

13. Standart “Umnyi gorod” [Smart City Standard]. Available at: https://www.minstroyrf.ru/upload/iblock/74f/Standart.pdf (accessed 30.04.2020).


Review

For citations:


Gagarina S.N., Chausov N.N., Levkina V.N. IMPROVING THE EFFICIENCY OF URBAN TRANSPORT INFRASTRUCTURE BASED ON DIGITAL TECHNOLOGIES. Vestnik Universiteta. 2020;(7):68-75. (In Russ.) https://doi.org/10.26425/1816-4277-2020-7-68-75

Views: 492


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1816-4277 (Print)
ISSN 2686-8415 (Online)