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MODELING CROWD DYNAMICS FROM A COMPLEX SYSTEM VIEWPOINT

delete2012-07-25
delete117
PRE
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N
Nicola Bellomo
B
Benedetto Piccoli
A
Andrea Tosin *
DOI:10.1142/S0218202512300049delete
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摘要

摘要

En 中文
This paper aims at indicating research perspectives on the mathematical modeling of crowd dynamics, pointing on the one hand to insights into the complexity features of pedestrian flows and on the other hand to a critical overview of the most popular modeling approaches currently adopted in the specialized literature. Particularly, the focus is on scaling problems, namely representation and modeling at microscopic, macroscopic, and mesoscopic scales, which, entangled with the complexity issues of living systems, generate multiscale dynamical effects, such as e.g. self-organization. Mathematical structures suitable to approach such multiscale aspects are proposed, along with a forward look at research developments.
Keyword:
Living systems
interactions
emerging behaviors
experimental data
multiscale models
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期刊

Mathematical Models and Methods in Applied Sciences 封面图
Mathematical Models and Methods in Applied Sciences
IF:
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论文数:
2.2K
被引数:
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机构

R
rutgers university camden
学者数:
485
论文数: 398
被引数: 3
R
rutgers university system
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4.1W
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被引数: 53
C
consiglio nazionale delle ricerche (cnr)
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论文数: 5.7W
被引数: 48
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引用论文

引用论文

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Experimental study of the behavioural mechanisms underlying self-organization in human crowds
err2009-05-13
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errOAAI
errMoussaid, Mehdi; Helbing, Dirk; Garnier, Simon; Johansson, Anders; Combe, Maud; Theraulaz, Guy
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Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study
err2008-01-29
err1.6K
errOAAI
errBallerini, M.; Calbibbo, N.; Candeleir, R.; Cavagna, A.; Cisbani, E.; Giardina, I.; Lecomte, V.; Orlandi, A.; Parisi, G.; Procaccini, A.; Viale, M.; Zdravkovic, V.
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