The Microscopic Analysis of Velocity-Density Paradigm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F19%3A00341107" target="_blank" >RIV/68407700:21340/19:00341107 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Microscopic Analysis of Velocity-Density Paradigm
Original language description
The relation between density and velocity is one of the most crucial aspects of pedestrian movement. Although some mechanisms are considered to be general true, our research on this topic finds some limits. Firstly, the general density distribution concept focused on the individual density is presented - each pedestrian is considered as the source of conic density distribution. When the density is set, velocity-density correlation is evaluated using the data from egress experiments realized by our research group in the last years and surprising behavior is measured for the dense crowd near the exit which disables to predict pedestrian velocity by density. Thus, follower-leader model using velocity of leaders to predict the motion of followers is developed and presents a good complement to velocity–density relation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
18th Conference on Applied Mathematics (APLIMAT 2019)
ISBN
9781510882140
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
1210-1221
Publisher name
Slovak University of Technology in Bratislava
Place of publication
Bratislava
Event location
Bratislava
Event date
Feb 5, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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