Algorithm for Train Overtaking at Railway Stations within Railway Line Simulation Models with Parameter Fine-tuning

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918141" target="_blank" >RIV/00216275:25530/21:39918141 - isvavai.cz</a>

Výsledek na webu

<a href="https://transportmeans.ktu.edu/transport-means-2021/" target="_blank" >https://transportmeans.ktu.edu/transport-means-2021/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Algorithm for Train Overtaking at Railway Stations within Railway Line Simulation Models with Parameter Fine-tuning

Popis výsledku v původním jazyce

In a simulation model of a railway system it is also important, besides other crucial algorithms, to also have correct behaviour of train overtaking in stochastic conditions where train categories also play an important role. This problem is not being addressed satisfactorily nowadays in any simulation tool that is focused on railway traffic. In train overtaking at railway stations within simulation models of railway lines [2] an algorithm for more natural train overtaking has been described. The goal of this paper is to improve upon its performance by changing its single parameter configuration for a more flexible multi parameter configuration while still keeping it simple and intuitive. These new parameters allow to overtake stopped trains more aggressively and also to tweak how aggressive/conservative the algorithm is based on the kind of considered trains (e.g. all other things being equal a passenger train can be more likely to overtake a freight train than the other way around). In this paper is included a case study covering over 50 km of railway lines trough Pardubice that helps to assess this approach.

Název v anglickém jazyce

Algorithm for Train Overtaking at Railway Stations within Railway Line Simulation Models with Parameter Fine-tuning

Popis výsledku anglicky

In a simulation model of a railway system it is also important, besides other crucial algorithms, to also have correct behaviour of train overtaking in stochastic conditions where train categories also play an important role. This problem is not being addressed satisfactorily nowadays in any simulation tool that is focused on railway traffic. In train overtaking at railway stations within simulation models of railway lines [2] an algorithm for more natural train overtaking has been described. The goal of this paper is to improve upon its performance by changing its single parameter configuration for a more flexible multi parameter configuration while still keeping it simple and intuitive. These new parameters allow to overtake stopped trains more aggressively and also to tweak how aggressive/conservative the algorithm is based on the kind of considered trains (e.g. all other things being equal a passenger train can be more likely to overtake a freight train than the other way around). In this paper is included a case study covering over 50 km of railway lines trough Pardubice that helps to assess this approach.

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

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Transport Means : proceedings of the international scientific conference

ISBN

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ISSN

1822-296X

e-ISSN

2351-7034

Počet stran výsledku

6

Strana od-do

666-671

Název nakladatele

Kaunas University of Technology

Místo vydání

Kaunas

Místo konání akce

Online

Datum konání akce

6. 10. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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