Publication detail

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

SEČKÁROVÁ, V. HRABÁK, P.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

SEČKÁROVÁ, V.; HRABÁK, P.

Released

29. 4. 2017

Publisher

Springer International Publishing

Location

Cham

ISBN

978-3-319-54083-2

Book

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

Edition

Springer Proceedings in Mathematics & Statistics

Edition number

194

ISBN

2194-1009

Periodical

Springer Proceedings in Mathematics & Statistics

Year of study

194

State

Federal Republic of Germany

Pages from

241

Pages to

251

Pages count

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"
}