Use this url to cite publication: https://hdl.handle.net/20.500.12259/48718
Vehicle acceleration prediction using specific road curvature points
Type of publication
Straipsnis konferencijos medžiagoje Web of Science ir Scopus duomenų bazėje / Article in conference proceedings in Web of Science and Scopus database (P1a)
Title
Vehicle acceleration prediction using specific road curvature points
Is part of
ICINCO 2009 : 6th international conference on informatics in control, automation and robotics, Milan, Italy, July 2-5, 2009: proceedings. Vol. 2 : Robotics and automation. Setubal: INSTICC Press, 2009
Date Issued
| Date |
|---|
2009 |
Publisher
Setubal: INSTICC Press, 2009
Extent
p. 147-152
Abstract (en)
In the work vehicle acceleration prediction issue is discussed. Three types of parameters are used for prediction system input: CAN-bus parameters – speed and curvature, derived speed parameters and newly offered specific curve point parameters, denoting changes in a curve. The real road data was used for predictions. Road curvature segments were divided into single and S-type curves. Acceleration was predicted using artificial neural networks and look-up table. The look-up table method showed the best results with newly offered specific curve parameters.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Portugalija / Portugal (PT)
Date Reporting
2010
ISBN (of the container)
9789896740009
WOS
WOS:000282034200025
Other Identifier(s)
VDU02-000008752