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portada Crowd Dynamics, Volume 4. Analytics and Human Factors in Crowd Modeling
Formato
Libro Físico
Colección
Modeling and Simulation in Science, Engineering and Technology
Año
2024
N° páginas
246
Encuadernación
Tapa Blanda
Dimensiones
23.50 x 15.50 cm
ISBN13
9783031463617

Crowd Dynamics, Volume 4. Analytics and Human Factors in Crowd Modeling

Livio Gibelli;Nicola Bellomo (Autor) · Birkhauser Verlag AG · Tapa Blanda

Crowd Dynamics, Volume 4. Analytics and Human Factors in Crowd Modeling - Livio Gibelli;Nicola Bellomo

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Reseña del libro "Crowd Dynamics, Volume 4. Analytics and Human Factors in Crowd Modeling"

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.  The volume begins with an overview of analytical problems related to crowd modeling.  Attention is then given to the importance of considering the social and psychological factors that influence crowd behavior – such as emotions, communication, and decision-making processes – in order to create reliable models.  Finally, specific features of crowd behavior are explored, including single-file traffic, passenger movement, modeling multiple groups in crowds, and the interplay between crowd dynamics and the spread of disease. Crowd Dynamics, Volume 4 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds.

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.  
The volume begins with an overview of analytical problems related to crowd modeling.  Attention is then given to the importance of considering the social and psychological factors that influence crowd behavior – such as emotions, communication, and decision-making processes – in order to create reliable models.  Finally, specific features of crowd behavior are explored, including single-file traffic, passenger movement, modeling multiple groups in crowds, and the interplay between crowd dynamics and the spread of disease.
Crowd Dynamics, Volume 4 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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