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Crowd dynamics. Volume 3, Modeling and social applications in the time of COVID-19 / Nicola Bellomo, Livio Gibelli, editors.

Bellomo, N., editor.; Gibelli, Livio, editor.
2022
HM1033 .C76 2022
Available Online
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Title
Crowd dynamics. Volume 3, Modeling and social applications in the time of COVID-19 / Nicola Bellomo, Livio Gibelli, editors.
ISBN
9783030916466 (electronic bk.)
3030916464 (electronic bk.)
9783030916459
3030916456
DOI
https://doi.org/10.1007/978-3-030-91646-6
Published
Cham : Birkhäuser, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color).
Item Number
10.1007/978-3-030-91646-6 doi
Call Number
HM1033 .C76 2022
Dewey Decimal Classification
620.8/6
Summary
This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field. In light of the recent COVID-19 pandemic, special consideration is given to applications of crowd dynamics to the prevention of the spreading of contagious diseases. Some of the specific topics covered in this volume include: - Impact of physical distancing on the evacuation of crowds - Generalized solutions of opinion dynamics models - Crowd dynamics coupled with models for infectious disease spreading - Optimized strategies for leaders in controlling the dynamics of a crowd Crowd Dynamics, Volume 3 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 11, 2022).
Added Author
Bellomo, N., editor.
Gibelli, Livio, editor.
Series
Modeling and simulation in science, engineering & technology.
Available in Other Form
Print version: 9783030916459
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
N. Bellomo, L. Gibelli, Behavioral human crowds: Recent results and new research frontiers
F. Ceragioli, P. Frasca, B. Piccoli, F. Rossi, Generalized solutions to opinion dynamics models with discontinuities
Z. Sabeur, B. Arbab-Zavar, Crowd behaviour understanding using computer vision and statistical mechanics principles
L. Li, H. Liu, Y. Han, G. Zhang, D. Lu, Applications of crowd dynamic models: Feature analysis and process optimization
G. Albi, F. Ferrarese, C. Segala, Optimized leaders strategies for crowd evacuation in unknown environments with multiple exits
E. Ronchi, D. Nilsson, R. Lovreglio, M. Register, K. Marshall, The impact of physical distancing on the evacuation of crowds
D. Kim, A. Quaini, A kinetic theory approach to model crowd dynamics with disease contagion
M. Colangeli, A. Muntean, Towards a quantitative reduction of the SIR epidemiological model
G. Pescarmona, P. Terna, A. Acquadro, P. Pescarmona, G. Russo, E. Sulis, S. Terna, An agent-based model of COVID-19 Diffusion to plan and evaluate intervention policies.

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