Russian Federation
Purpose: the article examines the problem areas of interaction between the carrier and the cargo owner, as well as existing methods for improving it. A solution to the problem of labor-intensive information support for freight transportation is proposed using intelligent information technology. Its structure has been determined, the system for managing the process of accepting a wagon for transportation has been improved, and a decision support system in the field of rail freight transportation has been developed. The life cycle diagram of the transportation process, built using the IDEF0 functional modeling methodology, reflects the influence of intelligent information technology on all components during its implementation. The practical aspect of implementation is represented by a software product based on a neural network model complex. The results of model experiments in laboratory conditions and tests in real conditions at the Oktyabrskaya Railway test site are presented, which showed a significant reduction in the time spent on accepting a car for transportation and the influence of the human factor, which in the future reduces the cost of freight transportation. Methods: the study uses methods of system analysis, transportation management theory, neural network modeling and synthesis of existing models. Results: a technology has been proposed and specific tools have been developed to improve the quality of information support for rail freight transportation. Practical significance: the implementation of the developed solutions will automate information support for rail freight transportation and data exchange between the carrier and the shipper.
intelligent information technology, control system, decision support system, neural network model, commercial inspection, automation
1. Sistemy upravleniya zh/d transportom. URL: https://niias.ru/products-and-services/products/ sistemy-upravleniya zh-d-transportom/ (data obrascheniya: 10.03.2024).
2. Matyuhin V. G. Intellektual'nye sistemy dlya zheleznodorozhnogo transporta. Opyt i perspektivy // Trudy chetvertoy nauchno-tehnicheskoy konferencii s mezhdunarodnym uchastiem «Intellektual'nye sistemy upravleniya na zheleznodorozhnom transporte. Komp'yuternoe i matematicheskoe modelirovanie» (ISUZhT‑2015). M., 2015. S. 3–5.
3. Koncepciya realizacii kompleksnogo nauchno-tehnicheskogo proekta «Cifrovaya zheleznaya doroga»: rasporyazhenie OAO «RZhD» ot 05.12.2017 № 1285. URL: https://company.rzd.ru/ ru/9397/page/104069?id=56885 (data obrascheniya: 09.03.2024).
4. Vereskun V. D. Metody upravleniya v korporativnyh informacionnyh sistemah na transporte // Vestnik Rostovskogo gosudarstvennogo universiteta putey soobscheniya. 2008. № 1. S. 61–67.
5. Avtomatizirovannaya sistema kommercheskogo osmotra poezdov i vagonov. URL: https://www. alfa-pribor.ru/products/automated-inspection- system/ asko-pv/ (data obrascheniya: 10.03.2024).
6. Kul'kin A. G. Sovershenstvovanie sistem upravleniya tehnologicheskimi processami na zheleznodorozhnom transporte // Vestnik Rostovskogo gosudarstvennogo universiteta putey soobscheniya. 2002. № 2. S. 96–98.
7. Smirnov F. A., Novichihin A. V., Kovalev K. E. Sovershenstvovanie gruzovoy i kommercheskoy raboty na zheleznodorozhnom transporte: koncepciya i instrumentariy // Izvestiya Peterburgskogo universiteta putey soobscheniya. 2023. T. 20, vyp. 2. S. 302–313.
8. Metody klassicheskoy i sovremennoy teorii avtomaticheskogo upravleniya: uchebnik: v 3 t. T. 3: Metody sovremennoy teorii avtomaticheskogo upravleniya / pod red. N. D. Egupova. M.: Izd-vo MGTU im. N. E. Baumana, 2000. 748 s.
9. Novikov D. A. Teoriya upravleniya organizacionnymi sistemami. M.: MPSI, 2005. 584 s.
10. Haettenschwiler P. Neues anwenderfreundliches Konzept der Entscheidungs-unterstutzung. Gutes Entscheiden in Wirtschaft&Politik. Zurich: Hochschulverlag, 1999. P. 189–208.
11. Programma dlya opredeleniya tipa vagonov i opasnyh gruzov: svidetel'stvo o registracii programmy dlya EVM № 2022617520. 11.04.2022 / 21.04.2022 / F. A. Smirnov [i dr.].
12. Programma dlya opredeleniya pravil'nosti pogruzki schebnya v poluvagon: svidetel'stvo o registracii programmy dlya EVM № 2023666145. 14.07.2023 / 26.07.2023 / F. A. Smirnov, I. A. Scherbak, A. V. Novichihin.
13. Sakovich I. L., Smirnov F. A., Novichihin A. V. Intellektual'naya informacionnaya tehnologiya kommercheskogo osmotra // Zheleznodorozhnyy transport. 2024. № 5. S. 25–27.
14. Rutkovskaya D., Pilin'skiy M., Rutkovskiy L. Neyronnye seti, geneticheskie algoritmy i nechetkie sistemy / per. s pol'sk. I. D. Rudinskogo. M.: Goryachaya liniya — Telekom, 2006. 452 s.
15. Vladimirov D. A. Bulevy algebry. M., 1969. S. 320.
