Artificial neural network as a support of platform track assignment within simulation models reflecting passenger railway stations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F09%3A00009520" target="_blank" >RIV/00216275:25530/09:00009520 - 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

Artificial neural network as a support of platform track assignment within simulation models reflecting passenger railway stations

Popis výsledku v původním jazyce

Simulation models reflecting the operation of transportation systems are supposed to utilize an appropriate realization of decision-making procedures. The formation or selection of adequate modelling approaches and methodologies has to be done in this context. Attention is paid to a specific operational problem related to the assignment of platform tracks to delayed arriving trains within simulation models of passenger railway stations. The application of a twolayered artificial neural network as a decision-making support associated with the mentioned assignment problem was investigated. The neural network reached very encouraging results with regard to the studied problem, which enables its profitable utilization. It means, in fact, that the quality of relevant simulation models rises and the consequent credibility of corresponding simulation studies for railway companies should be increased.

Název v anglickém jazyce

Artificial neural network as a support of platform track assignment within simulation models reflecting passenger railway stations

Popis výsledku anglicky

Simulation models reflecting the operation of transportation systems are supposed to utilize an appropriate realization of decision-making procedures. The formation or selection of adequate modelling approaches and methodologies has to be done in this context. Attention is paid to a specific operational problem related to the assignment of platform tracks to delayed arriving trains within simulation models of passenger railway stations. The application of a twolayered artificial neural network as a decision-making support associated with the mentioned assignment problem was investigated. The neural network reached very encouraging results with regard to the studied problem, which enables its profitable utilization. It means, in fact, that the quality of relevant simulation models rises and the consequent credibility of corresponding simulation studies for railway companies should be increased.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JO - Pozemní dopravní systémy a zařízení

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název periodika

Journal of Rail and Rapid Transit

ISSN

0954-4097

e-ISSN

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Svazek periodika

2009

Číslo periodika v rámci svazku

F5

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

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Kód UT WoS článku

000270798000008

EID výsledku v databázi Scopus

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