Russian Federation
Russian Federation
Oktyabrskaya Railway (Branch of JSC "Russian Railways", First Deputy Head for Economics, Finance and Corporate Coordination)
Russian Federation
Russian Federation
For to identify functioning problem of railway lines various mechanisms are used, including the mechanism of low-intensity railway line exploitation diagnostics which allows to raise their functioning efficiency. The proposed mechanism allows to evaluate low-intensity railway line current state and to establish cause-and-effect relationships leading to line unprofitability, to give analysis of indicators which to the greatest extent influence negatively the line functioning. Cognitive modeling method is used for this purpose. The article develops enlarged cognitive map of low-intensity railway line functioning that’s used for the diagnostics of line exploitation existing state. Cognitive map consists of concepts, links between concepts and links’ weight values. On cognitive map basis, adjacency matrix is made up which allows to evaluate reliability and sustainability of fuzzy cognitive map according to internal and external disturbances. Characteristic equation and matrix eigenvalues are calculated which allow to give the assessment of cognitive map indicators in the form of the influence of concepts on system and of system on concepts. Fuzzy cognitive map indicators are established, namely, system influence consonance, system influence dissonance, concept influence on system which give the most complete representation of low-intensity line internal structure. “Technical resources”, “stations’ and section’s staff”, “normative base” among concepts touch on the largest positive impact on system. The most significant positive influence on the listed concepts will allow to rise operation efficiency of low-intensity railway lines. “Traffic volume” concept among concepts causes the most negative influence on the system because of the lack of quantity of train pairs, passing along the line, a day. The plan of experiments for to define the changes in the parameters of “Productivity and effectiveness” concepts, when exerting impulse influences on “Operational management”, “Technical resources” and “Stations’ and section’s staff” concepts with the purpose of the evaluation of their influence on “Productivity” and “Efficiency” concepts, is made up. When introducing impulses into “Staff” concept, productivity and efficiency growth is observed that testifies to the possibility of efficiency rise of low-intensity railway line functioning by the way of positive impulse on “Staff” concept.
management of transportation processes, low-intensity lines, diagnostics mechanism for low-intensity railway line exploitation, cognitive modeling, impulse processes, railway transport
1. Kirilenko O. N. Ekonomicheskaya effektivnost' metodov ekspluatacii malodeyatel'nyh liniy / O. N. Kirilenko // Ekonomika zheleznyh dorog. - 2014. - № 8. - S. 79-85.
2. Vakulenko S. P. Malodeyatel'nye linii: sostoyanie i varianty optimizacii / S. P. Vakulenko, A. V. Kolin, N. Yu. Evreenova // Mir transporta. - 2017. - T. 15. - № 3(70). - S. 174-180. - DOI: doi.org/10.30932/1992-3252-2021-19-4-1.
3. Nikitin A. B. Vozmozhnost' vnedreniya cifrovoy radiosvyazi i organizacii peredachi dannyh mezhdu stanciyami na malodeyatel'nyh liniyah / A. B. Nikitin, I. V. Kushpil' // Avtomatika na transporte. - 2019. - T. 5. - № 1. - S. 45-61. DOI:https://doi.org/10.20295/2412-9186-2019-1-45-61.
4. Frumin D. Branching processes of conservative nested Petri nets / D. Frumin, I. A. Lomazova // VPT 2014. Second International Workshop on Verification and Program Transformation. - Vol. 28: EPiC Series. EasyChair, 2014. - Pp. 19-35.
5. Chan Y. K. The establishment of an integrated management system paradigm for railway engineering management / Y. K. Chan, P. Gaffney, K. Neailey et al. // The TQM Magazine. - 1998. - Vol. 10. - № 6. - Pp. 420-424.
6. Badetskii A. P. Improving the stability of the train formation plan to uneven operational work / A. P. Badetskii, O. A. Medved // Transportation Research Procedia. Ser. “International Scientific Siberian Transport Forum, TransSiberia 2020”. - 2021. - Pp. 559-567. - DOI:https://doi.org/10.1016/j.trpro.2021.02.108.
7. Chudzikiewicz A. Simulation evaluation of the costs of adapting the low density traffic line to practical exploitation / A. Chudzikiewicz // Procedia Social and Behavioral Sciences 20. - 2011. - Pp. 244-250. - DOI:https://doi.org/10.1016/j.sbspro.2011.08.030.
8. Epishkin I. A. Prichiny poyavleniya malodeyatel'nyh liniy v RF / I. A. Epishkin, K. V. Fionova // Transportnoe delo Rossii. - 2018. - № 6. - S. 262-264.
9. Sharapov S. N. Povyshenie effektivnosti raboty malointensivnyh zheleznodorozhnyh liniy / S. N. Sharapov, S. V. Gorel'cev, M. V. Lyal'ko // Zheleznodorozhnyy transport. - 2018. - № 6. - S. 36-46.
10. Kovalev K. E. Razrabotka mehanizmov povysheniya effektivnosti funkcionirovaniya malointensivnyh zheleznodorozhnyh liniy / K. E. Kovalev, A. V. Novichihin, O. A. Medved' // Avtomatika na transporte. - 2022. - T. 8. - № 2. - S. 150-161. - DOI:https://doi.org/10.20295/2412-9186-2022-8-2-150-161.
11. Kovalev K. E. Kompleksnyy sinergetiko-indikatornyy podhod k upravleniyu processami perevozok na intensivnyh i malodeyatel'nyh liniyah / K. E. Kovalev, A. V. Novichihin // Avtomatika na transporte. - 2021. - T. 7. - № 2. - S. 252-267. - DOI:https://doi.org/10.20295/2412-9186-2021-7-2-252-267.
12. Kovalev K. Interaction of intensive and low-density lines: management approach and models / K. Kovalev, A. Novichikhin // Lecture Notes in Networks and Systems. - 2022. - Vol. 402 LNNS. - S. 701-709. - DOI: doi.org/10.1007/978-3-030-96380-4_76.
13. Kovalev K. E. Ford-Fulkerson algorithm refinement for the cooperation effectiveness increase of intensive and low-density lines / K. E. Kovalev, A. V. Novichikhin // Intelligent Information Technology and Mathematical Modeling 2021 (IITMM 2021) Journal of Physics: Conference Series 2131. - 2021. - P. 032008. - DOI:https://doi.org/10.1088/1742-6596/2131/3/032008.
14. Kul'ba V. V. Upravlenie i kontrol' realizacii social'no-ekonomicheskih programm / V. V. Kul'ba, S. S. Kovalevskiy. - M.: Knizhnyy dom «LIBROKOM», 2009. - 400 s.
15. Novikov D. A. Mehanizmy funkcionirovaniya mnogourovnevyh organizacionnyh sistem / D. A. Novikov. - M.: Fond «Problemy upravleniya», 1999. - 150 s.
16. Novikov D. A. Teoriya upravleniya organizacionnymi sistemami / D. A. Novikov. - M.: MPSI, 2005. - 584 s.
17. Armstrong M. Upravlenie rezul'tativnost'yu. Sistema ocenki rezul'tatov v deystvii / M. Armstrong. - Al'pina Didzhital, 2011. - 276 s.
18. Roberts F. S. Diskretnye matematicheskie modeli s prilozheniyami k social'nym, biologicheskim i ekologicheskim zadacham / F. S. Roberts; per. angl. A. M. Rappoporta, S. I. Travkina; pod red. A. I. Teymana. - M.: Nauka, 1986. - 496 s.
19. Node.js - programmnaya platforma. - URL: https://www.node.org/ (data obrascheniya: 24.08.2022).
20. Upravlenie i kontrol' realizacii social'no-ekonomicheskih celevyh programm / Pod red. V. V. Kul'by, S. S. Kovalevskogo. - M.: Knizhnyy dom «LIBOROKOM», 2009. - 400 s.
21. Kasti Dzh. Bol'shie sistemy. Svyaznost', slozhnost' i katastrofy: Per. angl. / Kasti Dzh. - M.: Mir, 1982. - 216 s.
