| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0468093 |
| utime |
20240103213245.1 |
| mtime |
20170102235959.9 |
| DOI |
10.1007/978-3-319-33482-0_40 |
| title
(primary) (eng) |
Estimation of Discretized Motion of Pedestrians by the Decision-Making Model |
| specification |
| page_count |
8 |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0468092 |
| ISBN |
978-3-319-33481-3 |
| title
|
Traffic and Granular Flow '15 |
| page_num |
313-320 |
| publisher |
| place |
Cham |
| name |
Springer International Publishing |
| year |
2016 |
|
| editor |
| name1 |
Knoop |
| name2 |
Victor L. |
|
| editor |
| name1 |
Daamen |
| name2 |
Winnie |
|
|
| keyword |
pedestrian motion |
| keyword |
statistical analysis |
| keyword |
Markov decision process |
| author
(primary) |
| ARLID |
cav_un_auth*0307172 |
| name1 |
Hrabák |
| name2 |
Pavel |
| 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*0313524 |
| name1 |
Ticháček |
| name2 |
O. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0263972 |
| name1 |
Sečkárová |
| name2 |
Vladimíra |
| 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 |
|
| abstract
(eng) |
The contribution gives a micro-structural insight into the pedestrian decision process during an egress situation. A method how to extract the decisions of pedestrians from the trajectories recorded during the experiments is introduced. The underlying Markov decision process is estimated using the finite mixture approximation. Furthermore, the results of this estimation can be used as an input to the optimisation of a Markov decision process for one ‘clever’ agent. This agent optimises his strategy of motion with respect to different reward functions, minimising the time spent in the room or minimising the amount of inhaled CO. |
| action |
| ARLID |
cav_un_auth*0340161 |
| name |
Conference on Traffic and Granular Flow ‘15 |
| dates |
20151027 |
| place |
Nootdorp |
| country |
NL |
| mrcbC20-s |
20151030 |
|
| RIV |
BD |
| reportyear |
2017 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0269414 |
| confidential |
S |
| arlyear |
2016 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0468092 Traffic and Granular Flow '15 978-3-319-33481-3 313 320 Cham Springer International Publishing 2016 |
| mrcbU67 |
Knoop Victor L. 340 |
| mrcbU67 |
Daamen Winnie 340 |
|