| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0474861 |
| utime |
20240103214110.3 |
| mtime |
20170529235959.9 |
| SCOPUS |
85020024751 |
| WOS |
000418403500023 |
| DOI |
10.1007/978-3-319-54084-9 |
| title
(primary) (eng) |
Optimizing Movement of Cooperating Pedestrians by Exploiting Floor-Field Model and Markov Decision Process |
| specification |
| page_count |
11 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0474860 |
| ISBN |
978-3-319-54083-2 |
| ISSN |
2194-1009 |
| title
|
Bayesian Statistics in Action |
| page_num |
241-251 |
| publisher |
| place |
Cham |
| name |
Springer International Publishing |
| year |
2017 |
|
| editor |
|
| editor |
|
| editor |
| name1 |
Villalobos |
| name2 |
I. A. |
|
| editor |
|
|
| keyword |
optimization of cooperating pedestrians |
| keyword |
floor-field model |
| keyword |
Markov decision process |
| keyword |
combination of transition probabilities |
| author
(primary) |
| ARLID |
cav_un_auth*0263972 |
| name1 |
Sečkárová |
| name2 |
Vladimíra |
| 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 |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0307172 |
| name1 |
Hrabák |
| name2 |
Pavel |
| 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 |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292725 |
| project_id |
GA13-13502S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0331019 |
| project_id |
GA16-09848S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
Optimizing movement of pedestrians is a topic of great importance, calling for modeling crowds. In this contribution we address the problem of evacuation, where pedestrians choose their actions in order to leave the endangered area. To address such decision making process we exploit the well-known floor-field model with modeling based on Markov decision processes (MDP). In addition, we also allow the pedestrians to cooperate and exchange their information (probability distribution) about the state of the surrounding environment. This information in form of probability distributions is then combined in the Kullback–Leibler sense. We show in the simulation study how the use of MDP and information sharing positively influences the amount of inhaled CO and the evacuation time. |
| action |
| ARLID |
cav_un_auth*0346501 |
| name |
Bayesian Young Statisticians Meeting, BAYSM 2016 |
| dates |
20160619 |
| mrcbC20-s |
20160621 |
| place |
Florence |
| country |
IT |
|
| RIV |
BC |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2018 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0272094 |
| cooperation |
| ARLID |
cav_un_auth*0319127 |
| name |
Vysoké učení technické v Brně. Fakulta stavební |
| institution |
VUT v Brně. FAST |
| country |
CZ |
|
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Statistics Probability |
| mrcbC86 |
3+4 Proceedings Paper Statistics Probability |
| mrcbC86 |
3+4 Proceedings Paper Statistics Probability |
| arlyear |
2017 |
| mrcbU14 |
85020024751 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000418403500023 WOS |
| mrcbU63 |
cav_un_epca*0474860 Bayesian Statistics in Action Springer International Publishing 2017 Cham 241 251 978-3-319-54083-2 2194-1009 |
| mrcbU67 |
340 Argiento R. |
| mrcbU67 |
340 Lanzarone E. |
| mrcbU67 |
340 Villalobos I. A. |
| mrcbU67 |
340 Mattei A. |
|