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Train overtaking at railway stations within simulation models of railway lines

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916753" target="_blank" >RIV/00216275:25530/20:39916753 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.cal-tek.eu/proceedings/i3m/2020/emss/005/" target="_blank" >https://www.cal-tek.eu/proceedings/i3m/2020/emss/005/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46354/i3m.2020.emss.005" target="_blank" >10.46354/i3m.2020.emss.005</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Train overtaking at railway stations within simulation models of railway lines

  • Popis výsledku v původním jazyce

    Nowadays there are available simulation tools that can be used to simulate railway traffic but not that much attention has been paid to the quality and intelligence of some decision support systems used to resolve possible conflicts during simulation experiments. Objective of this work is to investigate more complex decision support system in the area of train overtaking within railway stations and to assess the level of benefits that this approach brings. The presented algorithm is valid in general conditions, but it is also validated in connection with simulation tool OpenTrack which is one of the leading simulation tools in the area of railway traffic simulations focused especially on railway lines. Possible solutions to this problem that are available in OpenTrack are considerably less sophisticated and their configuration is often not very intuitive. This topic is also discussed in greater detail in the paper. To show the advantages of this advanced decision-making approach, a case study that compares common and advanced decision-making approaches is presented.

  • Název v anglickém jazyce

    Train overtaking at railway stations within simulation models of railway lines

  • Popis výsledku anglicky

    Nowadays there are available simulation tools that can be used to simulate railway traffic but not that much attention has been paid to the quality and intelligence of some decision support systems used to resolve possible conflicts during simulation experiments. Objective of this work is to investigate more complex decision support system in the area of train overtaking within railway stations and to assess the level of benefits that this approach brings. The presented algorithm is valid in general conditions, but it is also validated in connection with simulation tool OpenTrack which is one of the leading simulation tools in the area of railway traffic simulations focused especially on railway lines. Possible solutions to this problem that are available in OpenTrack are considerably less sophisticated and their configuration is often not very intuitive. This topic is also discussed in greater detail in the paper. To show the advantages of this advanced decision-making approach, a case study that compares common and advanced decision-making approaches is presented.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Proceedings of the 32nd European Modeling &amp; Simulation Symposium (EMSS 2020)

  • ISBN

    978-88-85741-44-7

  • ISSN

    2724-0029

  • e-ISSN

  • Počet stran výsledku

    7

  • Strana od-do

    28-34

  • Název nakladatele

    CAL-TEK SRL

  • Místo vydání

    Rende

  • Místo konání akce

    ONLINE

  • Datum konání akce

    16. 9. 2020

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku