Real-Time Driver Advisory System for improving energy economy based on Advance Driver Assistant Systems Interface
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F18%3A00327523" target="_blank" >RIV/68407700:21260/18:00327523 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP.2018.8402655" target="_blank" >http://dx.doi.org/10.1109/SCSP.2018.8402655</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2018.8402655" target="_blank" >10.1109/SCSP.2018.8402655</a>
Alternative languages
Result language
angličtina
Original language name
Real-Time Driver Advisory System for improving energy economy based on Advance Driver Assistant Systems Interface
Original language description
The aim of this work is to present Real-Time Driver Advisory System (RTDAS) for improving energy economy of Electric Vehicles (EV) and Hybrid Electric Vehicles (HEV). System relies on a road map data provided in accordance with the second version of Advance Driver Assistant Systems Interface Specification (ADASIS v2) Protocol. Road map data is then transformed into Electronic Horizon (EH). The Electronic Horizon provides a preview of the road characteristics ahead of the vehicle, which is used for development of a predictive energy economy algorithms. The system is focused on static characteristics of the road ahead such as road slope, curvature, superelevation, speed limits and the traffic signs. Based on this data and vehicle parameters, the system is using algorithms to define if and when to send a message to the driver to release the gas pedal and to achieve higher energy economy, comfort and safety of driving. The releasing of gas pedal triggers an algorithm to adjust the speed using controlled regenerative braking without using mechanical brakes that leads to optimization of vehicle kinetic energy recuperation.
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
20205 - Automation and control systems
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 Smart City Symposium Prague
ISBN
978-1-5386-5017-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
May 24, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000443451800010