| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0348647 |
| utime |
20240103194023.9 |
| mtime |
20101101235959.9 |
| title
(primary) (eng) |
Modelling of Traffic Intensities |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0348646 |
| ISBN |
978-80-970519-0-7 |
| title
|
18th Annual Conference Proceedings, Technical Computing Bratislava |
| page_num |
1-9 |
| publisher |
| place |
Bratislava |
| name |
RT Systems s.r.o |
| year |
2010 |
|
|
| keyword |
traffic modelling |
| keyword |
autoregressive models |
| keyword |
traffic intensities |
| author
(primary) |
| ARLID |
cav_un_auth*0242543 |
| name1 |
Dedecius |
| name2 |
Kamil |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| 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*0228606 |
| name1 |
Hofman |
| name2 |
Radek |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
SGS 10/099/OHK3/1T/16 |
| agency |
ČVUT FD |
| country |
CZ |
|
| project |
| project_id |
ENS/2010/UTIA |
| agency |
Škoda Auto a.s. |
| country |
CZ |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The paper concerns the Bayesian modelling of tra c intensities measured in towns and cities. It proposes the use of a normal regressive model of low order, whose parameters (regression coe cients) are estimated using partial forgetting. This method allows to track the time varying parameters and respects the dierent variability rate of the absolute term modelling the mean value. The general theoretical concept of Bayesian modelling and parameter estimation is complemented with the theory related to the normal model in lieu. |
| action |
| ARLID |
cav_un_auth*0265027 |
| name |
Technical Computing Bratislava |
| place |
Bratislava |
| dates |
20.10.2010-20.10.2010 |
| country |
SK |
|
| reportyear |
2011 |
| RIV |
BC |
| permalink |
http://hdl.handle.net/11104/0189106 |
| arlyear |
2010 |
| mrcbU63 |
cav_un_epca*0348646 18th Annual Conference Proceedings, Technical Computing Bratislava 978-80-970519-0-7 1 9 Bratislava RT Systems s.r.o 2010 |
|