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Modelling the Traffic Prediction at the Direct Level of TMS Systems

Author

Listed:
  • Kučera Petr

    (University of Pardubice, Department of Transport Technology and Control, Studentská 95, 532 10 Pardubice, Czech Republic)

  • Šturma Martin

    (University of Pardubice, Department of Transport Technology and Control, Studentská 95, 532 10 Pardubice, Czech Republic)

  • Bachratý Hynek

    (University of Žilina, Department of Software Technologies, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Drdla Pavel

    (University of Pardubice, Department of Transport Technology and Control, Studentská 95, 532 10 Pardubice, Czech Republic)

Abstract

The paper deals with the issue of modelling traffic prediction in operational applications of infrastructure managers to increase the quality of decision-making at the direct level of railway traffic management. First, the paper defines traffic prediction and the influences that can generate traffic conflicts. Then, it proposes an approach to modelling traffic prediction that eliminates the generated traffic conflicts and evaluates the benefits of the proposed model. The authors’ proposal is based on their knowledge of the direct-level Traffic Management System (TMS) in the Czech Republic. The aim is to propose options for traffic prediction solutions to be used primarily on the railway network of the Czech Republic, but also elsewhere. The solutions are proposed with regard to their realizability in currently used computing resources.

Suggested Citation

  • Kučera Petr & Šturma Martin & Bachratý Hynek & Drdla Pavel, 2025. "Modelling the Traffic Prediction at the Direct Level of TMS Systems," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 16(1), pages 116-127.
    • Handle: RePEc:vrs:logitl:v:16:y:2025:i:1:p:116-127:n:1011
    DOI: 10.2478/logi-2025-0011
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