bibtype	J - Journal Article
ARLID	0476597
utime	20240103214322.7
mtime	20170731235959.9
SCOPUS	85007579596
WOS	000407655600029
DOI	10.1016/j.ijar.2016.11.018
title (primary) (eng)	Influence diagrams for speed profile optimization
specification	page_count 20 s. media_type P
serial	ARLID cav_un_epca*0256774 ISSN 0888-613X title International Journal of Approximate Reasoning volume_id 88 volume 1 (2017) page_num 567-586 publisher name Elsevier
keyword	Influence diagrams
keyword	Optimal control
keyword	Vehicle control
author (primary)	ARLID cav_un_auth*0216188 name1 Kratochvíl name2 Václav full_dept (cz) Matematická teorie rozhodování full_dept (eng) Department of Decision Making Theory department (cz) MTR department (eng) MTR institution UTIA-B full_dept Department of Decision Making Theory country CZ fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0101228 name1 Vomlel name2 Jiří full_dept (cz) Matematická teorie rozhodování full_dept Department of Decision Making Theory department (cz) MTR department MTR institution UTIA-B full_dept Department of Decision Making Theory fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2017/MTR/kratochvil-0476597.pdf
cas_special	project ARLID cav_un_auth*0332303 project_id GA16-12010S agency GA ČR country CZ abstract (eng) Influence diagrams have been applied to diverse decision problems. In this paper, we describe their application to the speed profile optimization problem – a problem traditionally solved by the methods of optimal control theory. Influence diagrams appeared to be well-suited to these types of problems. It is mainly due to their ability to perform computations efficiently if the utility function is additively decomposed along the vehicle path, which is the case for utility functions based on, e.g., the total driving time or the total fuel consumption. Also, driving constraints can be efficiently included in the influence diagram. If the vehicle speed deviates from the optimal speed profile during the real drive, a new optimal speed profile can be quickly computed in the compiled influence diagram. The theory of influence diagrams has not yet been sufficiently developed for continuous variables and nonlinear utility functions. RIV JD FORD0 10000 FORD1 10200 FORD2 10201 reportyear 2018 num_of_auth 2 mrcbC52 4 A hod 4ah 20231122142550.3 inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0273647 mrcbC64 1 Department of Decision Making Theory UTIA-B 10103 STATISTICS & PROBABILITY confidential S mrcbC86 3+4 Article|Proceedings Paper Computer Science Artificial Intelligence mrcbC86 3+4 Article|Proceedings Paper Computer Science Artificial Intelligence mrcbC86 3+4 Article|Proceedings Paper Computer Science Artificial Intelligence mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE mrcbT16-j 0.658 mrcbT16-s 0.866 mrcbT16-B 44.33 mrcbT16-D Q3 mrcbT16-E Q2 arlyear 2017 mrcbTft \nSoubory v repozitáři: kratochvil-0476597.pdf mrcbU14 85007579596 SCOPUS mrcbU24 PUBMED mrcbU34 000407655600029 WOS mrcbU63 cav_un_epca*0256774 International Journal of Approximate Reasoning 0888-613X 1873-4731 Roč. 88 č. 1 2017 567 586 Elsevier