Improving the interaction of participants in the transport process when using information and reference systems
https://doi.org/10.52170/1815-9265_2023_65_13
Abstract
The article deals with the issues of improving the interaction of participants in the transport process when using information and reference systems. This topic was developed after the changes, that have occurred in communication networks over the past ten years. Namely, the transition from the construction of information and reference services on the basis of circuit-switched networks to packet-switched networks that implement IP-technologies The emerging features that fundamentally improve the quality of customer service of Russian Railways on the basis of the proposed methods were taken into account. automation and digitalization arising from the application of artificial intelligence. Weaknesses in granting access identified in the work through the packet switching network to the node of information and reference services. The conditions for the trouble-free operation of reference nodes are given. Under which subscribers do not receive a refusal to service their applications, which must be performed when organizing the interaction of participants in the transport process.
The purpose of this study is to determine the optimal parameters of the communication network, at which trouble-free service to subscribers will be ensured. Particular attention in the article is paid to the issue of harmonizing the intensity of the load. When using artificial intelligence, which makes it possible to link transport and organizational interaction in information and reference systems, allows you to reduce the time of transactions, increase the speed of accepting applications from all participants in the process, increases the speed of transmission of responses and data transfer for organizational and management decisions.
About the Authors
E. S. Bogdanova
Ural State University of Railway Transport
Russian Federation
Russian Federation
Elena S. Bogdanova – Associate Professor of the Railway Automation, Telemechanics and Communication Department, Candidate of Engineering
Ekaterinburg
D. G. Nevolin
Ural State University of Railway Transport
Russian Federation
Russian Federation
Dmitry G. Nevolin – Professor of the Design and Operation of Automobiles Department, Doctor of Engineering
Ekaterinburg
References
1. Zhivitskaya E. N. Infocommunication flows in logistics. Vestnik of Communication. 2015;(134):51–54. (In Russ.).
2. Long-term development program of Russian Railways until 2025. Russian Railways: [site]. (In Russ.). URL: https://company.rzd.ru/ru/9353/.
3. Innovative activity of the Russian Railways holding. Annual report of Russian Railways: [site]. (In Russ.). URL: https://ar2021.rzd.ru/ru/performance-overview/innovation-driven-development/innovative-activity#digitalisation-strategy.
4. Sai V. M., Tikhonov P. M. Modeling the actions of the customer agent in the procurement procedure. Herald of the Ural State University of Railway Transport. 2020;(46):51–68. (In Russ.).
5. Tikhonov P. M. Digitalization and automation of resource flow management in organizational networks (on the example of the Russian Railways holding). The Siberian Transport University Bulletin. 2021;(56):20–27. (In Russ.).
6. Information technology in Russian Railways. Tadviser. State, business, technology: [site]. (In Russ.) URL: https://www.tadviser.ru/index.php/Статья:Информационные_технологии_в_РЖД.
7. Goryaev N. K., Kudryavtsev K. N. Game theory in price modeling in the interaction of transport market participants. Herald of the Ural State University of Railway Transport. 2016;(32):132–139. (In Russ.).
8. Sergeeva T. G., Nikiforova G. I. Increasing the competitiveness of transport and logistics companies in the context of digitalization. Proceedings of Petersburg Transport University. 2020;17(3):428–436. (In Russ.).
9. Bogdanova E. S. Modeling of the two-level model of the call center. Transport of the Urals. 2007;(13):75–77. (In Russ.).
10. Bogdanova E. S. Optimization of the work of the reference and information service of the railway. Transport of the Urals. 2008;(17):26–27. (In Russ.).
11. Soluyanov A. V., Yurkin Yu. V. Research of the mathematical model of the call-center in railway transport. Bulletin of the results of scientific research. 2012;(3):122–128. (In Russ.).
12. Yurkin Yu. V., Peredruk A. D. Two-level model of the information system of railway transport. 71st All-Russian Scientific and Technical Conference dedicated to Radio Day: Proceedings of the Conference (Saint Petersburg, April 20–28, 2016). Saint Petersburg: Saint Petersburg Electrotechnical University named after V. I. Ulyanov (Lenin); 2016. Р. 238–239. (In Russ.).
13. Timofeev N. A., Timofeeva G. A. Call center work optimization on the basis of Markovian process theory. Herald of the Ural State University of Railway Transport. 2010;(6):22–28.
14. Zavalishchin D. S., Timofeev N. A. Optimization of the contact-center operation mode. Information technologies of modeling and management. 2015;92(2):138–144. (In Russ.).
15. Nevolin D. G., Bogdanova E. S. Organization of a two-level reference and information system in railway transport. Yekaterinburg: Ural State University of Railway Transport; 2013. 99 p. (In Russ.).
16. Lebedinsky A. K., Pavlovsky A. A., Yurkin Yu. V. Automatic telephone communication in railway transport: a textbook for students of railway transport universities. Moscow: Educational and methodological center for education on railway transport; 2008. 529 р. (Higher professional education). (In Russ.).
Review
For citations:
Bogdanova E.S., Nevolin D.G. Improving the interaction of participants in the transport process when using information and reference systems. Bulletin of Siberian State University of Transport. 2023;(2):13-19. (In Russ.) https://doi.org/10.52170/1815-9265_2023_65_13
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