Sensitivities and uncertainties of eco-driving algorithm estimating train power consumption

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00177016%3A_____%2F20%3AN0000072" target="_blank" >RIV/00177016:_____/20:N0000072 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9191703" target="_blank" >https://ieeexplore.ieee.org/document/9191703</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CPEM49742.2020.9191703" target="_blank" >10.1109/CPEM49742.2020.9191703</a>

Result language
angličtina
Original language name
Sensitivities and uncertainties of eco-driving algorithm estimating train power consumption
Original language description
This paper describes a study of uncertainty propagation through the Train Simulator Algorithm (TSA). The algorithm is used to estimate train driving time, consumed and regenerated energy. These output quantities are important to optimize the driving profile of the train and minimize energy spending. The uncertainty propagation was calculated using the Monte Carlo method. The sensitivity of output uncertainties on the input uncertainties was evaluated for two different train tracks in Spain, Madrid Metro, and in Italy, Bolonia-Ozzano. Results will be used to improve eco-driving profiles.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings on 2020 Conference on Precision Electromagnetic Measurements (CPEM)
ISBN
978-1-5386-0973-6
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
1-2
Publisher name
Institute of Electrical and Electronics Engineers ( IEEE )
Place of publication
Denver, Colorado, USA
Event location
Denver, Colorado, USA
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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