Automated Construction of Mesoscopic Railway Infrastructure Models Supporting Station Throat Capacity Assessment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F23%3A39920955" target="_blank" >RIV/00216275:25530/23:39920955 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10101761" target="_blank" >https://ieeexplore.ieee.org/document/10101761</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2023.3266813" target="_blank" >10.1109/ACCESS.2023.3266813</a>

Result language

angličtina

Original language name

Automated Construction of Mesoscopic Railway Infrastructure Models Supporting Station Throat Capacity Assessment

Original language description

Assessment of the traffic capacity of a rail infrastructure involved within railway stations is one of the basic components of the rail transport planning process. An important part of the rail infrastructure in the stations is station throat, which typically comprises many switches and track crossings. Station throat acts as operating bottleneck that frequently has the largest impact on the station’s traffic capacity. The capacity of a station throat is often conveniently assessed based on the use of mesoscopic computer simulation. This requires (among other things) a suitable submodel of the throat infrastructure to be set up. This article presents innovative algorithms for the automated creation of mesoscopic target model of station throat based on consecutive transformations of an initial (intuitive) microscopic model. Compared to the hitherto used manual process, the automated procedure accelerates the construction of the target station throat model and eliminates its structural errors. The applied research method is based both on the original design of the target mathematical model graph (a vertex-weighted directed graph) for the representation of the station throat infrastructure and on the design and verification of innovative graph algorithms that perform multiple aggregation transformations of this model in order to perform its maximum admissible topological simplification. The results of the research conducted have helped to enhance and efficiently use the station throat capacity assessment methodology. The use of the algorithms is demonstrated in a case study concerning station throats within a minor railway station in the Czech Republic.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

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

Name of the periodical

IEEE ACCESS

ISSN

2169-3536

e-ISSN

2169-3536

Volume of the periodical

11

Issue of the periodical within the volume

20.04.2023

Country of publishing house

US - UNITED STATES

Number of pages

31

Pages from-to

37869-37899

UT code for WoS article

000976711600001

EID of the result in the Scopus database

2-s2.0-85153396561