Optimizing Movement of Cooperating Pedestrians by Exploiting Floor-Field Model and Markov Decision Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00474861" target="_blank" >RIV/67985556:_____/17:00474861 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26110/17:PU123462
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-54084-9" target="_blank" >http://dx.doi.org/10.1007/978-3-319-54084-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-54084-9" target="_blank" >10.1007/978-3-319-54084-9</a>
Alternative languages
Result language
angličtina
Original language name
Optimizing Movement of Cooperating Pedestrians by Exploiting Floor-Field Model and Markov Decision Process
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Bayesian Statistics in Action
ISBN
978-3-319-54083-2
ISSN
2194-1009
e-ISSN
—
Number of pages
11
Pages from-to
241-251
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Florence
Event date
Jun 19, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000418403500023