bibtype C - Conference Paper (international conference)
ARLID 0311441
utime 20240103190350.6
mtime 20081008235959.9
title (primary) (eng) Application of Estimation Techniques on Queue Lengths Estimation in Traffic Network
specification
page_count 6 s.
serial
ARLID cav_un_epca*0311440
ISBN 978-1-4244-2914-1
title Proceedings of 2008 7th IEEE International Conference on Cybernetic Intelligent System
page_num 257-262
publisher
place Londýn
name IEEE
year 2008
editor
name1 Comley
name2 Richard
editor
name1 Cheng
name2 Xiaochun
editor
name1 Amavasai
name2 Bala P.
editor
name1 O'Grady
name2 Michael
editor
name1 Huyck
name2 Christian
title (cze) Použití odhadovacích metod pro odhad délky kolony v dopravní síti
keyword traffic system model
keyword stochastic systems
keyword state estimation
keyword Kalman filtering
author (primary)
ARLID cav_un_auth*0205791
name1 Pecherková
name2 Pavla
institution UTIA-B
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0215003
name1 Flídr
name2 M.
country CZ
author
ARLID cav_un_auth*0213309
name1 Duník
name2 J.
country CZ
source
url http://library.utia.cas.cz/separaty/2008/AS/pecherkova-application%20of%20estimation%20techniques%20on%20queue%20lengths%20estimation%20in%20traffic%20network.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) The paper deals with the application of the state and parameter estimation techniques in the area of traffic control. the most important properties of the traffic system are described and the model of the traffic system is pressented. Various estimation and identification techniques are briefly introduced and applied for three types of roads and micro-regions. Performance of estimation techniques is validated on real and synthetic data coming from Prague.
abstract (cze) Článek popisuje použití metody odhadu stavu a parametrů v oblasti dopravního řízení. Jsou zde popsány nejdůležitější vlastnosti dopravního systému a prezentován model dopravního modelu. Různé odhadovací a identifikační metody byly využity na třech různých typech dopravních komunikacích v různých mikroregionech. Odhadovací metody jsou validovány a jejich funkčnost prokázána na základě reálných a syntetických dat z Prahy.
action
ARLID cav_un_auth*0242040
name 7th IEEE International conference on Cybernetic Intelligent System
place London
dates 09.09.2008-10.09.2008
country GB
reportyear 2009
RIV BC
permalink http://hdl.handle.net/11104/0163056
arlyear 2008
mrcbU63 cav_un_epca*0311440 Proceedings of 2008 7th IEEE International Conference on Cybernetic Intelligent System 978-1-4244-2914-1 257 262 Londýn IEEE 2008
mrcbU67 Comley Richard 340
mrcbU67 Cheng Xiaochun 340
mrcbU67 Amavasai Bala P. 340
mrcbU67 O'Grady Michael 340
mrcbU67 Huyck Christian 340