Detail publikace

Comfort of pedestrians from a mathematical viewpoint: kernel estimate approach

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

Originální název

Comfort of pedestrians from a mathematical viewpoint: kernel estimate approach

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

12. 8. 2023

Nakladatel

Elsevier B.V.

ISSN

0378-4371

Periodikum

Physica A

Ročník

627

Číslo

129132

Stát

Nizozemsko

Strany od

1

Strany do

15

Strany počet

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"
}