Data-based speed-limit-respecting eco-driving system

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F14%3A00225083" target="_blank" >RIV/68407700:21260/14:00225083 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/14:00427942
Result on the web
<a href="http://dx.doi.org/10.1016/j.trc.2014.04.009" target="_blank" >http://dx.doi.org/10.1016/j.trc.2014.04.009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trc.2014.04.009" target="_blank" >10.1016/j.trc.2014.04.009</a>

Result language
angličtina
Original language name
Data-based speed-limit-respecting eco-driving system
Original language description
The paper describes application of data-based Bayesian approach to model identification and control problems in the field of fuel consumption optimization for conventional vehicles. The main contributions of the presented approach are: (i) analysis of data measured on a driven vehicle; (ii) data-based model construction, its real-time estimation and adaptation; (iii) control criterion using simultaneously setpoints for fuel consumption and speed; (iv) universal recursive Bayesian algorithms of estimation and control implemented as semi-automatic eco-driving system. Experiments with real data report reduction in fuel consumption.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Project
<a href="/en/project/TA01030123" target="_blank" >TA01030123: Ecology of driving, modeling, cluster models, classification, decision making</a><br>
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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