UDK 656.078.12 Координация перевозок между различными видами транспорта
Purpose: In the frames of ongoing digital transformation of transport complex in a whole and railway transport in particular, to give brief analytical characterization of being developed digital platforms and services. To consider promising technologies that are either at launch stage or on the way to the peak of overpriced expectations as to technological hype cycle of Gartner Research Company. To give an example of unified knowledge base as a basis of digital platform for multimodal transportation. Methods: Methods for visual structuring of information were used, in particular, mental maps (intellect-maps). To represent subject area ontology, a semantic network was used as a method for knowledge representation. Results: The pursued analysis of being developed and existing digital platforms and services has shown that besides data, there should lie at their basis more complex informational units — an active knowledge. This requires the method of data integration from disparate sources, their integration and circulation as within one industry as well as between various industries in order of knowledge generation and spread. In view of work specifics of transport various kinds, participating in multimodal transportations, the subject area, uniting all kinds of transport, should be chosen for this. The application of "cargo transportation" subject area has been justified by virtue of which, it is necessary to create management system of cargo flows on railway transport. Ontology fragment, describing "cargo transportation" domain for railway transport, has been worked out. Practical significance: The necessity of applying active knowledge to create autonomous intellectual productions on transport is shown. The use of knowledge bases, established on ontologies, will allow to raise the level of interaction of transport various kinds in "narrow" places during cargo transshipment as well as to expand the range of services, provided to customers.
Multimodal transportations, knowledge bases, ontologies, cargo traffic management, digital transformation
1. Programma «Cifrovaya ekonomika Rossiyskoy Federacii», utverzhdennaya rasporyazheniem Pravitel'stva Rossiyskoy Federacii ot 28 iyulya 2017 g. № 1632-r. — URL: http://static.government.ru/media/files/ 9gFM4FHj4PsB79I5v7yLVuPgu4bvR7M0.pdf.
2. Pasport Strategii cifrovoy transformacii transportnoy otrasli Rossiyskoy Federacii. — URL: https://mintrans.gov.ru /activities/297/documents.
3. Badeckiy A. P. Optimizaciya raspredeleniya konteyneropotokov na napravlenii Kitay — Evropeyskiy soyuz / A. P. Badeckiy, A. N. Derevyanko // Russian Journal of Logistics & Transport Management — 2020. — T. 5. — № 1. — S. 69–86.
4. Lapidus B. M. Gladkaya besshovnaya transportnaya sistema kak instrument povysheniya konkurentosposobnosti zheleznodorozhnogo transporta / B. M. Lapidus, L. V. Lapidus // Ekonomika zheleznyh dorog. — 2016. — № 10. — S. 27–37.
5. Lapidus B. M. Gladkaya besshovnaya transportnaya sistema — innovacionnaya model' buduschego: priroda, suschnost', determinanty kachestva / B. M. Lapidus, L. V. Lapidus // Vestnik Moskovskogo universiteta. Seriya 6: Ekonomika. — 2017. — № 2. — S. 45–64.
6. Kobzev S. A. Berezhlivaya kiberfizicheskaya proizvodstvennaya sistema transportnoy kompanii / S. A. Kobzev // Zheleznodorozhnyy transport. — 2020. — № 9. — S. 4–13.
7. Hubauer T. et al. Use Cases of the Industrial Knowledge Graph at Siemens / T. Hubauer et al. // International Semantic Web Conference (P & D/Industry/BlueSky). — 2018.
8. Perspektivy ispol'zovaniya tehnologii blokcheyn v organizacii zheleznodorozhnyh perevozok: informacionno-analiticheskiy obzor. — Eurasian Rail Alliance Index (ERAI). — 2018. — 23 c.
9. Sergeev V. I. Primenenie innovacionnoy tehnologii «Blokcheyn» v logistike i upravlenii cepyami postavok / V. I. Sergeev, D. I. Kokurin // Kreativnaya ekonomika. — 2018. — T. 12. — № 2 — S. 125–140.
10. Muromcev D. I. Industrial'nye grafy znaniy — intellektual'noe yadro cifrovoy ekonomiki / D. I. Muromcev, A. A. Romanov, D. G. Volchek // Control Engineering Rossiya. — 2019. — № 5(83). — S. 32–39.
11. Berners-Lee T. The Semantic Web / T. Berners-Lee, J. Hendler, O. Lassila // Scientific American. — May 17, 2001.
12. Studer R., Benjamins R., Fensel D. Knowledge Engineering: Principles and Methods / R. Studer, R. Benjamins, D. Fensel // Data and Knowledge Engineering. — 1998. — Iss. 25(1-2). — Pp. 161–197.
13. Klepov A. V. Otraslevye modeli ontologii ISUZhT / A. V. Klepov // Intellektual'nye sistemy upravleniya na zheleznodorozhnom transporte. Komp'yuternoe i matematicheskoe modelirovanie (ISUZhT-2017): trudy vos'moy nauchno-tehnicheskoy konferencii. — M.: NIIAS, 2017. — S. 43–45.
14. Klepov A. V. Ontologiya ISUZhT / A. V. Klepov, V. A. Bronevickiy, N. I. Kapustin // Intellektual'nye sistemy upravleniya na zheleznodorozhnom transporte. Komp'yuternoe i matematicheskoe modelirovanie (ISUZhT-2018): trudy vos'moy nauchno-tehnicheskoy konferencii. — M.: NIIAS, 2018. — S. 16–20.
15. Matyuhin V. G. O tekuschem sostoyanii proekta ISUZhT i realizacii tehnologii interval'nogo regulirovaniya na ego platforme / V. G. Matyuhin, V. I. Umanskiy, A. B. Shabunin // Intellektual'nye sistemy upravleniya na zheleznodorozhnom transporte. Komp'yuternoe i matematicheskoe modelirovanie (ISUZhT-2019): trudy vos'moy nauchno-tehnicheskoy konferencii. — M.: NIIAS, 2019. — S. 3–7.
16. Lazutkina V. S. Ontologii bol'shih dannyh, mashinnogo obucheniya, i iskusstvennogo intellekta na cifrovoy zheleznoy doroge / V. S. Lazutkina, A. A. Klimov, V. P. Kupriyanovskiy i dr. // International Journal of Open Information Technologies. — 2019. — T. 7. — Vyp. 5. — S. 75–88.
17. Klimov A. A. BIM i inzhenernye formalizovannye ontologii na cifrovoy zheleznoy doroge Evropy v ob'edinenii EULYNX — ekonomika dannyh / A. A. Klimov, V. P. Kupriyanovskiy, A. V. Stepanenko i dr. // International Journal of Open Information Technologies. — 2018. — T. 6. — Vyp. 8. — S. 38–65.
18. Badeckiy A. P. Optimizaciya skorosti dostavki gruzov na osnove upravleniya adaptivnym planom formirovaniya poezdov / A. P. Badeckiy // Zheleznodorozhnyy transport. — 2017. — № 3. — S. 51–53.
19. Badetskii A. P. Improving the Stability of the Train Formation Plan to Uneven Operational Work / A. P. Badetskii, O. A. Medved // Transportation Research Procedia, Novosibirsk, 25–29 May, 2020. — Novosibirsk, 2021. — Pp. 559–567. — DOI: 10.1016/j.trpro.2021.02.108.
20. Badeckiy A. P. Perspektivnye tehnologii adaptivnogo upravleniya gruzopotokami / A. P. Badeckiy // Logistika: sovremennye tendencii razvitiya: materialy XIX Mezhdunarodnoy nauchno-tehnicheskoy konferencii. — SPb., 2020. — S. 39–44.
21. Os'minin A. T. Nauchnoe reshenie problem perevozochnogo processa / A. T. Os'minin // Zheleznodorozhnyy transport. — 2018. — № 12. — S. 12–17.
22. Os'minin A. T. Uvelichenie propusknyh i provoznyh sposobnostey za schet povysheniya effektivnosti perevozochnogo processa i transportnogo obsluzhivaniya / A. T. Os'minin // Byulleten' Ob'edinennogo uchenogo soveta OAO «RZhD». — 2018. — № 2. — S. 14–31.
23. Os'minin A. T. Reinzhiniring modeli upravleniya perevozkami / A. T. Os'minin // RZhD-Partner. — 2020. — № 1-2. — S. 46–49.
24. Badeckiy A. P. Primenenie metodov iskusstvennogo intellekta dlya upravleniya gruzopotokami v mul'timodal'nom soobschenii / A. P. Badeckiy // Byulleten' Ob'edinennogo uchenogo soveta OAO «RZhD». — 2021. — № 1. — S. 38–46.
25. Badeckiy A. P. Upravlenie v politransportnyh sistemah na osnove metodov iskusstvennogo intellekta / A. P. Badeckiy // Razvitie infrastruktury i logisticheskih tehnologiy v transportnyh sistemah (RILTTRANS-2021): trudy chetvertoy Mezhdunarodnoy nauchno-prakticheskoy konferencii. — SPb.: PGUPS, 2022. — Ch. 1. — S. 3–12.
