Density Estimates in Cellular Automata Models of Pedestrian Dynamics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F22%3A00364828" target="_blank" >RIV/68407700:21340/22:00364828 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-14926-9_24" target="_blank" >https://doi.org/10.1007/978-3-031-14926-9_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-14926-9_24" target="_blank" >10.1007/978-3-031-14926-9_24</a>

Result language
angličtina
Original language name
Density Estimates in Cellular Automata Models of Pedestrian Dynamics
Original language description
Presented contribution deals with general concept of pedestrian density estimate appropriate even for cellular models of pedestrian dynamics. Using kernel approach, authors are able to cover multiple density estimate methods (e.g. point approximation, Voronoi approach) and to control required features by "blur" parameter. With respect to specific setting, final density can be smooth enough even for discreet lattice and still keep other requirements.
Czech name
—
Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-14925-2
ISSN
0302-9743
e-ISSN
—
Number of pages
10
Pages from-to
271-280
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
—
Event location
Geneva
Event date
Sep 12, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000876374700024

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