Hybrid simulation model supporting efficient computations within rail traffic simulations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915110" target="_blank" >RIV/00216275:25530/19:39915110 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Hybrid simulation model supporting efficient computations within rail traffic simulations

Popis výsledku v původním jazyce

The contribution deals with the unitary hybrid simulation model of railway traffic, which applies different levels of abstraction (microscopic and macroscopic) to different parts of the simulating system. As a result of applying this approach, simulation experiments can reflect the traffic within a large part of the railway network. The entire computational complexity is supposed to be significantly lower in comparison with an application of a pure microscopic simulator. From this point of view, the hybrid model can also be used to optimize the design of simulators of large and complex railway systems. Special attention is paid to stochastic simulation experiments (applying random train delays) and to transforming train flows at the interface between pairs of microscopic and macroscopic submodels.

Název v anglickém jazyce

Hybrid simulation model supporting efficient computations within rail traffic simulations

Popis výsledku anglicky

The contribution deals with the unitary hybrid simulation model of railway traffic, which applies different levels of abstraction (microscopic and macroscopic) to different parts of the simulating system. As a result of applying this approach, simulation experiments can reflect the traffic within a large part of the railway network. The entire computational complexity is supposed to be significantly lower in comparison with an application of a pure microscopic simulator. From this point of view, the hybrid model can also be used to optimize the design of simulators of large and complex railway systems. Special attention is paid to stochastic simulation experiments (applying random train delays) and to transforming train flows at the interface between pairs of microscopic and macroscopic submodels.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

31st European Modeling and Simulation Symposium, EMSS 2019

ISBN

978-88-85741-26-3

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

16-22

Název nakladatele

Dime University of Genoa

Místo vydání

Janov

Místo konání akce

Lisabon

Datum konání akce

18. 9. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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