UID:
almahu_9949341626402882
Format:
VIII, 257 p. 103 illus., 83 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9783030916466
Series Statement:
Modeling and Simulation in Science, Engineering and Technology,
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030916459
Additional Edition:
Printed edition: ISBN 9783030916473
Additional Edition:
Printed edition: ISBN 9783030916480
Language:
English
Subjects:
Mathematics
Keywords:
Aufsatzsammlung
;
Aufsatzsammlung
;
Aufsatzsammlung
;
Aufsatzsammlung
DOI:
10.1007/978-3-030-91646-6
URL:
https://doi.org/10.1007/978-3-030-91646-6
URL:
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(URL des Erstveröffentlichers)
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