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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
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" }