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Record Nr. |
UNINA9910484317303321 |
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Titolo |
Crowd dynamics . Volume 2 : theory, models, and applications / / Livio Gibelli, editor |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Birkhäuser, , [2020] |
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©2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (VII, 222 p. 56 illus., 45 illus. in color.) |
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Collana |
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Modeling and Simulation in Science, Engineering and Technology |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Behavioral Human Crowds -- Artificial Neural Networks for the Estimation of Pedestrian Interaction Forces -- High-statistics modeling of complex pedestrian avoidance scenarios -- Modelling Collective Behaviour: Insights and Applications from Crowd Psychology -- Crowd Dynamics through Conservation Laws -- The Fokker-Planck framework in the modelling of pedestrians' motion -- Recent developments in controlled crowd dynamics -- Mathematical models and methods for crowd dynamics control -- Mixed Traffic Simulation of Cars and Pedestrians for Transportation Policy Assessment. |
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Sommario/riassunto |
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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. After providing a critical analysis of the current state of the field and an overview of the current research perspectives, chapters focus on three main research areas: pedestrian interactions, crowd control, and multiscale modeling. Specific topics covered in this volume include: crowd dynamics through conservation laws recent developments in controlled crowd dynamics mixed traffic modeling insights and applications from crowd psychology Crowd Dynamics, Volume 2 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of |
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