graduate student
Purpose: To develop an automated algorithm using simulation modeling tools that allows calculating actual capacity of railway line with mixed traffic. Analytical formulas underlie the algorithm. Results: The algorithm features the use of simulation modeling tools and taking into account of the same name coefficient. The application of the given software product will allow to raise the efficiency and accuracy of actual capacity calculation accuracy. The data, obtained during the simulation, were compared to the data in the timetable, their discrepancy was revealed which basis on, simulation modeling value, integrated into existing formulas, was found. Based on all calculations, software algorithm has been developed with its subsequent implementation in Maple software environment in order to automate calculations and increase their efficiency. Methods: Simulation modeling and analytical comparison method were used. Practical significance: Improving the accuracy of calculations of the values of available capacity on the network of JSC "Russian Railways" and simplifying the implementation of such calculations. This algorithm, if implemented, would bring the calculated values closer to the real ones.
Railway polygon, analytical formulas, simulation model, software package, comparison of results, program code
1. Instrukciya po raschetu nalichnoy propusknoy sposobnosti. — Utv. Rasporyazheniem OAO «RZhD» ot 16 noyabrya 2010 g. № 128. — M.: OAO «RZhD», 2011. — 305 s.
2. Borodin A. F. Ispol'zovanie propusknoy sposobnosti stanciy pri interval'nom regulirovanii dvizheniya poezdov / A. F. Borodin, G. G. Gorbunov, A. Yu. Sokolov i dr. // Zheleznodorozhnyy transport. — SPb.: PGUPS, 2021. — Vyp. 2. — S. 29–36.
3. Abdullaev Zh. Ya. Osobennostey opredeleniya propusknoy sposobnosti dvuhputnyh uchastkov / Zh. Ya. Abdullaev // Izv. Peterburg. un-ta putey soobscheniya. — SPb.: PGUPS, 2019. — Vyp. 3. — S. 361–369.
4. Estelle Altazin, Stéphane Dauzère-Pérès, François Ramond, Sabine Tréfond. A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems. — Leeds, UK: European Journal of Operational Research. — Vol. 286. — Iss. 2, 2020. — Pp. 662–672.
5. Ivica Ljubaj, Matea Mikulčić, Tomislav Josip Mlinarić. Possibility of Increasing the Railway Capacity of the R106 Regional Line by Using a Simulation Tool. — Rome, Italy: Transportation Research Procedia. — 2020. — Vol. 44. — Pp. 137–144.
6. Ugryumov A. K. Voprosy organizacii dvizheniya na dvuhputnyh uchastkah / A. K. Ugryumov // Voprosy ekspluatacii zheleznyh dorog SSSR: Trudy LIZhT. — L.: Transzheldorizdat, 1960. — Vyp. 170.
7. Zuev G. A. Interval'nogo regulirovaniya dvizheniya poezdov na stancii / G. A. Zuev, A. G. Savickiy // Zheleznodorozhnyy transport. — SPb.: PGUPS, 2021. — Vyp. 5. — S. 26–32.
8. Pokrovskaya O. D. Sostoyanie transportno-logisticheskoy infrastruktury dlya ugol'nyh perevozok v Rossii / O. D. Pokrovskaya // Innovacionnyy transport. — 2015. — № 1(15). — S. 13–23.
9. Pokrovskaya O. Evolutionary-Functional Approach to Transport Hubs Classification / O. Pokrovskaya, R. Fedorenko // Advances in Intelligent Systems and Computing. — 2020. — Vol. 982. — Pp. 356–365.
10. Pokrovskaya O. D. O terminologii ob'ektov terminal'no-skladskoy infrastruktury / O. D. Pokrovskaya // Mir transporta. — 2018. — T. 16. — № 1(74). — S. 152–163.
11. Kurenkov P. V. Mehanizmy gosudarstvennogo regulirovaniya razvitiya transportnoy sistemy regiona / P. V. Kurenkov, Yu. V. Veselova // Transport: nauka, tehnika, upravlenie: sbornik «Otechestvennaya istoriya». — 2006. — № 7. — S. 8–12.
12. Kurenkov P. V. Plan meropriyatiy (dorozhnaya karta) po realizacii programmy organizacii kontreylernyh perevozok na prostranstve 1520 / P. V. Kurenkov, A. V. Astaf'ev // Transport: nauka, tehnika, upravlenie: sbornik «Rossiyskaya istoriya». — 2015. — № 11. — S. 84–92.
13. Chislov O. Mathematical modeling of cargo flow distribution in a regional multimodal transportation / O. Chislov, V. Bogachev, A. Kravets et al. // Transport problems. — Katowice: Silesian University of Technology, 2021. — Iss. 2. — Pp. 153–165.
14. Bakyt G. Simulation of dynamic processes of interaction of car and railway track during train passage of curved sections of the track / G. Bakyt, S. Abdullayev, N. Suleyeva et al. // Transport problems. — Katowice: Silesian University of Technology, 2020. — Iss. 2. — Pp. 59–70.
15. Oziomek Ja. Improvement of regularity of urban public transport lines by means of intervals synchronization / Ja. Oziomek, A. Rogowski // Transport problems. — Katowice: Silesian University of Technology, 2018. — Iss. 4. — Pp. 91–102.
16. Tarifnoe rukovodstvo № 4. Kniga 1. Tarifnye rasstoyaniya mezhdu stanciyami na uchastkah zheleznyh dorog. — M.: IKC «Akademkniga», 2002. — 502 s.
17. Tarifnoe rukovodstvo № 4. Kniga 2. Ch. 1. Alfavitnyy spisok zheleznodorozhnyh stanciy. — M.: IKC «Akademkniga», 2002. — 452 s.
18. Tarifnoe rukovodstvo № 4. Kniga 2. Ch. 2. Alfavitnyy spisok passazhirskih ostanovochnyh punktov i platform. — M.: IKC «Akademkniga», 2002. — 136 s.
19. Tarifnoe rukovodstvo № 4. Kniga 3. Tarifnye rasstoyaniya mezhdu tranzitnymi punktami. — M.: IKC «Akademkniga», 2002. — 379 s.
20. Oficial'nyy sayt OAO «RZhD». — URL: https://pass.rzd.ru/ (data obrascheniya: 28.11.2021).
21. Persianov V. A. Proekt «Gorodskie zheleznye dorogi Rossii» / V. A. Persianov, P. V. Metelkin, L. S. Fedorov i dr. // Vestnik transporta. — 2014. — № 5. — S. 2–10.
22. Baritko A. L. Organizaciya i tehnologiya vneshnetorgovyh perevozok / A. L. Baritko, P. V. Kurenkov // Zheleznodorozhnyy transport. — 1998. — № 8.
