Detail publikace

Optimizing Movement of Cooperating Pedestrians by Exploiting Floor-Field Model and Markov Decision Process

SEČKÁROVÁ, V. HRABÁK, P.

Originální název

Optimizing Movement of Cooperating Pedestrians by Exploiting Floor-Field Model and Markov Decision Process

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Optimization of cooperating pedestrians; Floor-field model; Markov decision process; Combination of transition probabilities

Autoři

SEČKÁROVÁ, V.; HRABÁK, P.

Vydáno

29. 4. 2017

Nakladatel

Springer International Publishing

Místo

Cham

ISBN

978-3-319-54083-2

Kniha

Bayesian Statistics in Action: BAYSM 2016, Florence, Italy, June 19-21

Edice

Springer Proceedings in Mathematics & Statistics

Číslo edice

194

ISSN

2194-1009

Periodikum

Springer Proceedings in Mathematics & Statistics

Ročník

194

Stát

Spolková republika Německo

Strany od

241

Strany do

251

Strany počet

11

URL

https://link.springer.com/chapter/10.1007/978-3-319-54084-9_23

BibTex

@inproceedings{BUT135210,
  author="Vladimíra {Sečkárová} and Pavel {Hrabák}",
  title="Optimizing Movement of Cooperating Pedestrians by Exploiting Floor-Field Model and Markov Decision Process",
  booktitle="Bayesian Statistics in Action: BAYSM 2016, Florence, Italy, June 19-21",
  year="2017",
  series="Springer Proceedings in Mathematics & Statistics",
  journal="Springer Proceedings in Mathematics & Statistics",
  volume="194",
  number="194",
  pages="241--251",
  publisher="Springer International Publishing",
  address="Cham",
  doi="10.1007/978-3-319-54084-9\{_}23",
  isbn="978-3-319-54083-2",
  issn="2194-1009",
  url="https://link.springer.com/chapter/10.1007/978-3-319-54084-9_23"
}