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Crowd Dynamics, Volume 2: Theory, Models, and Applications
Tag	Description
020	$a9783030504502
082	$a519
099	$aOnline resource: Springer
245	$aCrowd Dynamics, Volume 2$h[EBook]$bTheory, Models, and Applications /$cedited by Livio Gibelli.
250	$a1st ed. 2020.
260	$aCham :$bSpringer International Publishing :$bImprint: Birkhäuser,$c2020.
300	$aVII, 222 p. 56 illus., 45 illus. in color.$bonline resource.
336	$atext
338	$aonline resource
440	$aModeling and Simulation in Science, Engineering and Technology,$x2164-3679
505	$aBehavioral 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.
520	$aThis 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 human crowds.
533	$aDigital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format
538	$a - Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
700	$aGibelli, Livio.$eeditor.
710	$aSpringerLink (Online service)
830	$aModeling and Simulation in Science, Engineering and Technology,$x2164-3679
856	$uhttps://doi.org/10.1007/978-3-030-50450-2