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Modelling the Traffic Prediction at the Direct Level of TMS Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F25%3A39922889" target="_blank" >RIV/00216275:25510/25:39922889 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.2478/logi-2025-0011" target="_blank" >https://doi.org/10.2478/logi-2025-0011</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/logi-2025-0011" target="_blank" >10.2478/logi-2025-0011</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling the Traffic Prediction at the Direct Level of TMS Systems

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    LOGI Scientific Journal on Transport and Logistics

  • ISSN

    1804-3216

  • e-ISSN

    2336-3037

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

    116-127

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-105014927701