INVESTIGATION OF THE PARAMETERS OF RAILWAY STATIONS USING PETRI NETS

Authors

DOI:

https://doi.org/10.15802/stp2020/208551

Keywords:

railway station, simulation modeling, Petri net, station equipment, QPNet

Abstract

Purpose. The work is aimed to determine the rational parameters of a railway station based on the simulation modeling of its functioning process, presented by the Petri net in QPNet using the proposed methodology of technical and economic comparison of equipment options. Methodology. The authors presented a methodology for formalizing the functioning of the sorting complex using a Petri net in QPNet. Particular attention is paid to the formalization of the operation of the hump locomotive. Methodology of technical and economic comparison of equipment options for the sorting complex was developed. It is based on the use of modified summarized costs. Findings. The authors performed a review of existing simulation systems, which can be specialized and universal. Specialized ones have richer display capabilities, allow you to create models for specific objects faster and more accurately, and as a result you can get the best set of results with their help. At the same time, the universal systems gained greater recognition, despite the requirement of some refinement and adaptation to a specific process, since specialized simulation systems are paid or insufficiently advertised, which does not allow a wide circle of researchers to use them to solve the set tasks. The paper presents the operation results of sorting complex with various equipment, obtained by simulation in the QPNet. The obtained values of the technical and technological parameters of the sorting complex became the basis for determining rational measures aimed at improving the efficiency of the sorting station in various operating conditions. Originality lies in improving the simulation model of the sorting complex which functioning is represented by the temporary Petri net. This, unlike other models, allows you to take into account the additional time of hump locomotive occupation by other operations not directly related with trains breaking-up. Practical value of the improved simulation model of the sorting complex presented in the work lies in the ability to more accurately take into account the influence of the technical equipment parameters of the railway station on its performance.

Author Biographies

Y. B. Demchenko, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

Dep. «Stations and Junctions», Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, Lazaryana St., 2, Dnipro, Ukraine, 49010, tel. +38 (097) 799 16 75, e-mail e.b.dmch@gmail.com

V. V. Malashkin, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

Dep. «Stations and Junctions», Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, Lazaryana St., 2, Dnipro, Ukraine, 49010, tel. +38 (056) 793 19 13, e-mail viacheslav.malashkin@gmail.com

I. Y. Skovron, Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan

Dep. «Stations and Junctions», Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan, Lazaryana St., 2, Dnipro, Ukraine, 49010, tel. +38 (095) 230 50 34, e-mail norvoks@gmail.com

References

Aleksandrov, A. E. (2008). Raschet i optimizatsiya transportnykh sistem s ispolzovaniem modeley (teoreticheskie osnovy, metodologiya). (Doctoral dissertation). Ekaterinburg. (in Russian)

Bobrovskiy, V. I., Kozachenko, D. N., Vernigora, R. V., & Malashkin, V. V. (2015). Functional modeling of the work of railway stations: monografiya. Dnipropetrovsk National University of Railway Transport named after Academician V. Lazaryan. (in Russian)

Vilenskiy, P. L., Livshits, V. N., & Smolyak, S. A. (2004) Otsenka effektivnosti investitsionnykh proektov. Teoriya i praktika. Moscow: Delo. (in Russian)

Ilesaliev, D. I., & Abduvahitov, Sh. R. (2019). Research functioning container terminal. Transport : science, equipment, management, 11, 59-62. DOI: https://doi.org/10.36535/0236-1914-2019-11-11 (in Russian)

Lomotko, D. V., & Arsenenko, D. V. (2018). Creating an effective technology for the formation railway routes with grain cargoes using models on the Petri net. Information and Control Systems on Railway Transport, 6, 38-45. DOI: https://doi.org/10.18664/ikszt.v0i6.151642 (in Ukrainian)

Shapoval, G. V., Shelekhan, G. I., & Zanik, I. V. (2016). Research of the train formation influence on the sorting process efficiency. Collection of Scientific Works of the Ukrainian State University of Railway Transport, 166, 68-78. DOI: https://doi.org/10.18664/1994-7852.166.2016.92849 (in Ukrainian)

Shelekhan, A. I., & Prodaschuk, M. V. (2017). Improvement of the interaction process of marshalling yards and portside stations at the service of exporting traffic volumes. Collection of Scientific Works of the Ukrainian State University of Railway Transport, 168, 10-18. DOI: https://doi.org/10.18664/1994-7852.168.2017.101565 (in Ukrainian)

AnyLogic. Rail simulation software. Retrieved from https://www.anylogic.ru/rail-logistics (in Russian)

Demchenko, E. B. (2015). Complex simulation model of train breaking-up process at the humps. Science and Transport Progress, 6(60), 25-34. DOI: https://doi.org/10.15802/stp2015/57003 (in English)

Dorda, M., & Teichmann, D. (2013). Modelling of Freight Trains Classification Using Queueing System Subject to Breakdowns. Mathematical Problems in Engineering, 2013, 1-11. DOI: https://doi.org/10.1155/2013/307652 (in English)

Lu, Q., Dessouky, M., & Leachman, R. C. (2004). Modeling train movements through complex rail networks. ACM Transactions on Modeling and Computer Simulation (TOMACS), 14(1), 48-75. DOI: https://doi.org/10.1145/974734.974737 (in English)

Márton, P., Žarnay, M., & Wenjian, L. (2014). Development of computer simulation model of Mudanjiang rail-way junction and its results. Retrieved from http://frdsa.fri.uniza.sk/~zarnay/publications/SimulationTranspSystems/MartonZarnayLi-Zel2003.pdf (in English)

Milinković, S., Marković, M., Vesković, S., Ivić, M., & Pavlović, N. (2013). A fuzzy Petri net model to estimate train delays. Simulation Modelling Practice and Theory, 33, 144-157. DOI: https://doi.org/10.1016/j.simpat.2012.12.005 (in English)

OpenTrack. Modelirovanie zheleznodorozhnykh setey. Retrieved from http://www.opentrack.ch/opentrack/downloads/OpenTrack.Info_RU.pdf (in Russian)

Sourceforge. QPNet–Synchronous Petri Nets' emulator. Retrieved from https://sourceforge.net/projects/qpnet (in English)

Zaitsev, D. A. (2016). Petri Nets for Modeling and Computing. DOI: https://doi.org/10.4018/978-1-4666-9594-8 (in English)

Downloads

Published

2020-07-23

How to Cite

Demchenko, Y. B., Malashkin, V. V., & Skovron, I. Y. (2020). INVESTIGATION OF THE PARAMETERS OF RAILWAY STATIONS USING PETRI NETS. Science and Transport Progress, (3(87), 25–36. https://doi.org/10.15802/stp2020/208551

Issue

No. 3(87) (2020)

Section

OPERATION AND REPAIR OF TRANSPORT MEANS

License

Copyright and Licensing

This journal provides open access to all of its content.
As such, copyright for articles published in this journal is retained by the authors, under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY license permits commercial and non-commercial reuse. Such access is associated with increased readership and increased citation of an author's work. For more information on this approach, see the Public Knowledge Project, the Directory of Open Access Journals, or the Budapest Open Access Initiative.

The CC BY 4.0 license allows users to copy, distribute and adapt the work in any way, provided that they properly point to the author. Therefore, the editorial board of the journal does not prevent from placing published materials in third-party repositories. In order to protect manuscripts from misappropriation by unscrupulous authors, reference should be made to the original version of the work.