bibtype C - Conference Paper (international conference)
ARLID 0506857
utime 20240103222323.0
mtime 20190725235959.9
SCOPUS 84950286457
WOS 000376668800143
DOI 10.1109/ITSC.2015.150
title (primary) (eng) On Distributed Traffic Signal Control
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0506856
ISBN 978-1-4673-6595-6
title Proccedings of the 18th IEEE International Conference on Intelligent Transportation Systems
page_num 894-899
publisher
place Piscataway
name IEEE
year 2015
keyword intelligent systems
keyword multi agent systems
keyword traffic control
keyword distributed control
keyword convergence conditions
author (primary)
ARLID cav_un_auth*0053544
share 45
name1 Přikryl
name2 J.
country CZ
garant K
author
ARLID cav_un_auth*0235038
share 45
name1 Novotný
name2 J.
country CZ
author
ARLID cav_un_auth*0101207
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
full_dept Department of Adaptive Systems
share 10
name1 Šmídl
name2 Václav
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2019/AS/smidl-0506857.pdf
cas_special
abstract (eng) Distributed control mechanisms have been studied in past decades in different application areas. Currently, multiagent systems are a popular topic also in ITS systems, where numerous approaches to distribution of system intelligence are being tested. One of the main problems in distributed control, however, remains the guarantee of reaching the global optimum-while most of the applications perform sufficiently well, there is no way to tell that they cannot perform even better, or that they may fail under certain operating conditions. Luckily, for certain control paradigms such guarantees may be given. In this paper we study two approaches to distributed control, namely distributed LQ control and distributed non-lonear control using COBYLA algorithm, and apply them to urban traffic control scenario. We show that the convergence conditions are met and results achieved with distributed control converge to those of centralised control mechanisms.
action
ARLID cav_un_auth*0377557
name IEEE International Conference on Intelligent Transportation Systems 2015 /18./
dates 20150915
mrcbC20-s 20150918
place Las Canteras
country ES
RIV BC
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2020
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0298017
cooperation
ARLID cav_un_auth*0377558
name ČVUT v Praze, Fakulta dopravní
institution ČVUT FD
country CZ
cooperation
ARLID cav_un_auth*0377559
name ČVUT v Praze, Fakulta jaderného a fyzikálního inženýrství
institution ČVUT FJFI
country CZ
confidential S
arlyear 2015
mrcbU14 84950286457 SCOPUS
mrcbU24 PUBMED
mrcbU34 000376668800143 WOS
mrcbU63 cav_un_epca*0506856 Proccedings of the 18th IEEE International Conference on Intelligent Transportation Systems 978-1-4673-6595-6 894 899 Piscataway IEEE 2015