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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:
Enriches readers' knowledge of crowd dynamics by exploring emerging research directions Illustrates the benefits of employing a multiscale approach to crowd dynamics Explores innovative research topics using a multidisciplinary approach
Contenu
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.