Publication detail

Comfort of pedestrians from a mathematical viewpoint: kernel estimate approach

VACKOVÁ, J. KRBÁLEK, M. APELTAUER, T. UHLÍK, O. APELTAUER, J.

Original Title

Comfort of pedestrians from a mathematical viewpoint: kernel estimate approach

Type

journal article in Web of Science

Language

English

Original Abstract

With increasing demandings on facilities capacity a solid mathematical foundation is needed for quantitative assessment of pedestrian comfort. Presented work fills this gap in literature and proposes a mathematical definition of comfort based on kernel density estimation. Proposed method of comfort assessment is validated with experimental data.

Keywords

Pedestrian dynamics, Traffic and crowd dynamics, Kernel density, Pedestrian comfort, Experimental pedestrian data

Authors

VACKOVÁ, J.; KRBÁLEK, M.; APELTAUER, T.; UHLÍK, O.; APELTAUER, J.

Released

12. 8. 2023

Publisher

Elsevier B.V.

ISBN

0378-4371

Periodical

Physica A

Year of study

627

Number

129132

State

Kingdom of the Netherlands

Pages from

1

Pages to

15

Pages count

15

URL

https://www.sciencedirect.com/science/article/abs/pii/S0378437123006878

BibTex

@article{BUT175451,
  author="Jana {Vacková} and Milan {Krbálek} and Tomáš {Apeltauer} and Ondřej {Uhlík} and Jiří {Apeltauer}",
  title="Comfort of pedestrians from a mathematical viewpoint: kernel estimate approach",
  journal="Physica A",
  year="2023",
  volume="627",
  number="129132",
  pages="15",
  doi="10.1016/j.physa.2023.129132",
  issn="0378-4371",
  url="https://www.sciencedirect.com/science/article/abs/pii/S0378437123006878"
}