Algorithm for Train Overtaking at Railway Stations within Railway Line Simulation Models with Parameter Fine-tuning
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Algorithm for Train Overtaking at Railway Stations within Railway Line Simulation Models with Parameter Fine-tuning
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Transport Means : proceedings of the international scientific conference
ISBN
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ISSN
1822-296X
e-ISSN
2351-7034
Number of pages
6
Pages from-to
666-671
Publisher name
Kaunas University of Technology
Place of publication
Kaunas
Event location
Online
Event date
Oct 6, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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