bibtype C - Conference Paper (international conference)
ARLID 0458065
utime 20240111140917.7
mtime 20160415235959.9
SCOPUS 84964466870
title (primary) (eng) Influence Diagrams for the Optimization of a Vehicle Speed Profile
specification
page_count 10 s.
media_type E
serial
ARLID cav_un_epca*0458683
ISSN 1613-0073
title Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015)
page_num 44-53
publisher
place Achen
name Sun SITE Central Europe
year 2016
editor
name1 Agosta
name2 J. M.
editor
name1 Carvalho
name2 R. N.
keyword Influence diagrams
keyword Spped profile optimization
keyword Optimal control
author (primary)
ARLID cav_un_auth*0216188
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
full_dept Department of Decision Making Theory
name1 Kratochvíl
name2 Václav
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101228
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
full_dept Department of Decision Making Theory
name1 Vomlel
name2 Jiří
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type elektronický sborník
url http://library.utia.cas.cz/separaty/2016/MTR/kratochvil-0458065.pdf
cas_special
project
ARLID cav_un_auth*0292670
project_id GA13-20012S
agency GA ČR
abstract (eng) Influence diagrams are decision theoretic extensions of Bayesian networks. They are applied to diverse decision problems. In this paper we apply influence diagrams to the optimization of a vehicle speed profile. We present results of computational experiments in which an influence diagram was used to optimize the speed profile of a Formula 1 race car at the Silverstone F1 circuit. The computed lap time and speed profiles correspond well to those achieved by test pilots. An extended version of our model that considers a more complex optimization function and diverse traffic constraints is currently being tested onboard a testing car by a major car manufacturer. This paper opens doors for new applications of influence diagrams.
action
ARLID cav_un_auth*0329424
name The Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015)
dates 16.07.2015
place Amsterdam
country NL
RIV JD
reportyear 2017
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0258932
confidential S
mrcbT16-s 0.186
mrcbT16-E Q3
arlyear 2016
mrcbU14 84964466870 SCOPUS
mrcbU56 elektronický sborník
mrcbU63 cav_un_epca*0458683 Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015) 1613-0073 44 53 Achen Sun SITE Central Europe 2016 CEUR Workshop Proceedings Vol 1565
mrcbU67 Agosta J. M. 340
mrcbU67 Carvalho R. N. 340