Calculation Of The Estimated Position Of The Train In Gnss Denied Conditions Within The Railway Network Mode
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F22%3A39920033" target="_blank" >RIV/00216275:25530/22:39920033 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Calculation Of The Estimated Position Of The Train In Gnss Denied Conditions Within The Railway Network Mode
Original language description
This article focuses on estimating the future position of rolling stock in GNSS denied conditions within the railway network model. Firstly, attention is paid to a brief overview of existing solutions in the area of rolling stock localization on regional lines, and description of our own multi-layer railway network model. Further the article focuses on position identification of rolling stock within the railway infrastructure model using the GNSS in relation to regional lines. The last part deals with experiments performed in the field of estimating future position of rolling stock in GNSS denied conditions, with the use of computer simulation.
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
<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)
Others
Publication year
2022
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 problems 2022 : proceedings
ISBN
978-83-959742-3-6
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
88-97
Publisher name
Silesian University of Technology
Place of publication
Katowice
Event location
Katowice
Event date
Jun 27, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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