IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i3p1394-d489216.html
   My bibliography  Save this article

Simulation of Railway Lines with a Simplified Interlocking System

Author

Listed:
  • Jaromír Široký

    (Faculty of Transport Engineering, University of Pardubice, 532 10 Pardubice, Czech Republic)

  • Petr Nachtigall

    (Faculty of Transport Engineering, University of Pardubice, 532 10 Pardubice, Czech Republic)

  • Erik Tischer

    (Faculty of Transport Engineering, University of Pardubice, 532 10 Pardubice, Czech Republic)

  • Jozef Gašparík

    (Faculty of Operation and Economics of Transport and Communications, University of Žilina, 010 26 Žilina, Slovakia)

Abstract

This paper deals with railway lines with low traffic intensity where trains are operated under simplified conditions. Those conditions are stated in a regulation, and there is no interlocking system on the line. The whole railway operation is organized according to a regulation in cooperation with the train crew. For the calculation of the throughput, we can use analytic or simulation methods. On those lines there is a big problem with the common working methods because of special circumstances on each line, which are influencing the technological times and reliability of the calculation. The simplified conditions are the transforming of regular interlocking systems on the administrative level. Therefore, it is very complicated to use a common simulation model. Most of the simulation tools are not able to work with it. The motivation of this paper is to prove that modern simulation tools are usable for that specific condition as well. The simulation model was built in SW OpenTrack which is able to modify its functions to figure out each technological action to ensure the correct function of the model. This functionality is described in the paper in general and implemented on a case study.

Suggested Citation

  • Jaromír Široký & Petr Nachtigall & Erik Tischer & Jozef Gašparík, 2021. "Simulation of Railway Lines with a Simplified Interlocking System," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1394-:d:489216
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/3/1394/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/3/1394/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jaroslav MAŠEK & Martin KENDRA & Sanjin MILINKOVIĆ & Slavko VESKOVIĆ & Dalibor Bà RTA, 2015. "Proposal And Application Of Methodology Of Revitalisation Of Regional Railway Track In Slovakia And Serbia. Part 1: Theoretical Approach And Proposal Of Methodology For Revitalisation Of Regional Rail," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 10(SE), pages 85-95, December.
    2. Burdett, RL, 2016. "Optimisation models for expanding a railway's theoretical capacity," European Journal of Operational Research, Elsevier, vol. 251(3), pages 783-797.
    3. Vladislav ZITRICKà & Jozef GAÅ PARà K & Lumír PEÄŒENÃ, 2015. "The Methodology Of Rating Quality Standards In The Regional Passenger Transport," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 10(SE), pages 59-72, December.
    4. Francesco Rotoli & Elena Navajas Cawood & Antonio Soria, 2016. "Capacity assessment of railway infrastructure: Tools, methodologies and policy relevance in the EU context," JRC Research Reports JRC100509, Joint Research Centre.
    5. Wegelin, Philipp & von Arx, Widar, 2016. "The impact of alternative governance forms of regional public rail transport on transaction costs. Case evidence from Germany and Switzerland," Research in Transportation Economics, Elsevier, vol. 59(C), pages 133-142.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Bindzar & Daniel Macuga & Jaroslaw Brodny & Magdalena Tutak & Marcela Malindzakova, 2022. "Use of Universal Simulation Software Tools for Optimization of Signal Plans at Urban Intersections," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    2. Zdenka Bulková & Jozef Gašparík & Jaroslav Mašek & Vladislav Zitrický, 2022. "Analytical Procedures for the Evaluation of Infrastructural Measures for Increasing the Capacity of Railway Lines," Sustainability, MDPI, vol. 14(21), pages 1-28, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dr. Louis Mosake Njomo, 2019. "Enhancing Customer Relationship Management: A Strategy to Improve Revenue Management at the Nelson Mandela Bay Municipality," Sumerianz Journal of Business Management and Marketing, Sumerianz Publication, vol. 2(4), pages 40-50, 04-2019.
    2. Rudolf Kampf & Silvia Lorincová & Miloš Hitka & Ondrej Stopka, 2017. "Generational Differences in the Perception of Corporate Culture in European Transport Enterprises," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    3. Oleg NIKIFOROV & Oleg YAROVIKOV & Eduard SAFRONOV & Kirill SAFRONOV & Sergey MOCHALIN, 2021. "Improving Urban Development Methods For The Development Of An Urban Transport System," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(3), pages 141-152, September.
    4. Bevrani, Bayan & Burdett, Robert & Bhaskar, Ashish & Yarlagadda, Prasad K.D.V., 2020. "A multi-criteria multi-commodity flow model for analysing transportation networks," Operations Research Perspectives, Elsevier, vol. 7(C).
    5. Marek Drliciak & Jan Celko & Michal Cingel & Dusan Jandacka, 2020. "Traffic Volumes as a Modal Split Parameter," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    6. Lidestam, Helene & Camén, Carolina & Lidestam, Björn, 2018. "Evaluation of cost drivers within public bus transports in Sweden," Research in Transportation Economics, Elsevier, vol. 69(C), pages 157-164.
    7. Li, Feng & Gao, Ziyou & Wang, David Z.W. & Liu, Ronghui & Tang, Tao & Wu, Jianjun & Yang, Lixing, 2017. "A subjective capacity evaluation model for single-track railway system with δ-balanced traffic and λ-tolerance level," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 43-66.
    8. Juan Carlos Garmendia-Mora & Lloyd Herbert Morris-Molina, 2022. "Comportamiento de precios en los mercados domésticos de pasajeros del transporte aéreo," Estudios Gerenciales, Universidad Icesi, vol. 38(164), pages 308-319, September.
    9. Hrvoje HARAMINA & Ivan TALAN & Branko MIHALJEVIĆ, 2018. "Improvement Of Suburban Railway Services By Infrastructure And Timetable Modifications Based On Simulation Modelling," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 13(3), pages 15-27, September.
    10. Jozef Gnap & Šimon Senko & Mariusz Kostrzewski & Mária Brídziková & Renáta Cződörová & Zdeněk Říha, 2021. "Research on the Relationship between Transport Infrastructure and Performance in Rail and Road Freight Transport—A Case Study of Japan and Selected European Countries," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    11. Dižo Ján & Blatnický Miroslav & Steišūnas Stasys & Vaičiūnas Gediminas, 2018. "Evaluation of the Influence of a Rail Vehicle Running with Wheel-flat on the Railway Track," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 9(1), pages 24-31, May.
    12. Jozef Gasparik & Milan Dedik & Lukas Cechovic & Peter Blaho, 2020. "Estimation of Transport Potential in Regional Rail Passenger Transport by Using the Innovative Mathematical-Statistical Gravity Approach," Sustainability, MDPI, vol. 12(9), pages 1-13, May.
    13. Černá Lenka & Zitrický Vladislav & Abramović Borna, 2020. "Methodical Manual for a Set of Transport Regulations in Railway Passenger Transport," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 11(1), pages 13-24, May.
    14. Matthias Aistleitner & Christian Grimm & Jakob Kapeller, 2018. "Auftragsvergabe, Leistungsqualitaet und Kostenintensitaet im Schienenpersonenverkehr. Eine internationale Perspektive," ICAE Working Papers 86, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    15. Bayan Bevrani & Robert L. Burdett & Ashish Bhaskar & Prasad K. D. V. Yarlagadda, 2020. "A multi commodity flow model incorporating flow reduction functions," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 693-723, September.
    16. Jovanović, Predrag & Pavlović, Norbert & Belošević, Ivan & Milinković, Sanjin, 2020. "Graph coloring-based approach for railway station design analysis and capacity determination," European Journal of Operational Research, Elsevier, vol. 287(1), pages 348-360.
    17. Qian, Yongsheng & Da, Cheng & Zeng, Junwei & Wang, Xuexin & Zhang, Yongzhi & Xu, Dejie, 2022. "A bidirectional quasi-moving block cellular automaton model for single-track railways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    18. (Ato) Xu, Wangtu & Huang, Ying, 2019. "The correlation between HSR construction and economic development – Empirical study of Chinese cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 24-36.
    19. Wegelin, Philipp, 2018. "Is the mere threat enough? An empirical analysis about competitive tendering as a threat and cost efficiency in public bus transportation," Research in Transportation Economics, Elsevier, vol. 69(C), pages 245-253.
    20. Bevrani, Bayan & Burdett, Robert L. & Bhaskar, Ashish & Yarlagadda, Prasad K.D.V., 2017. "A capacity assessment approach for multi-modal transportation systems," European Journal of Operational Research, Elsevier, vol. 263(3), pages 864-878.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1394-:d:489216. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.