Szczegóły publikacji

Opis bibliograficzny

Using Cellular Automata to model high density pedestrian dynamics / Grzegorz BAZIOR, Dariusz PAŁKA, Jarosław WĄS // W: Computational Science - ICCS 2020 : 20th International Conference : Amsterdam, The Netherlands, June 3–5, 2020 : proceedings, Pt. 1 / eds. Valeria V. Krzhizhanovskaya, [et al.]. — Cham : Springer Nature Switzerland, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12137. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-50370-3; e-ISBN: 978-3-030-50371-0. — S. 486–498. — Bibliogr. s. 498, Abstr. — Publikacja dostępna online od: 2020-06-15

Autorzy (3)

Słowa kluczowe

high density crowdcrowd dynamicscellular automata

Dane bibliometryczne

ID BaDAP129172
Data dodania do BaDAP2020-06-25
Tekst źródłowyURL
DOI10.1007/978-3-030-50371-0_36
Rok publikacji2020
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
KonferencjaInternational Conference on Computational Science 2020
Czasopisma/serieLecture Notes in Computer Science, Theoretical Computer Science and General Issues

Abstract

The article presents a model of pedestrian dynamics based on Cellular Automata, dedicated especially for high density conditions. Using the proposed representation, it is possible to map different behaviors of agents in various conditions. The article describes mechanisms of a pedestrian’s movement for different pedestrian’s shapes when a pedestrian occupies multiple cells, compared to the classical representation where a pedestrian occupies a single square cell. A greater number of cells per pedestrian can describe a pedestrian with e.g. a backpack, a suitcase on wheels, or on a bicycle more precisely than when s/he is represented by one cell. More accurate discretizations are particularly useful when high density of pedestrians occurs. The article focuses on the following aspects of a pedestrian’s movement: changing direction, movement speed, a passing scheme, and an overtaking scheme.

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