Overview
- 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
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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Table of contents (9 chapters)
Keywords
- Crowd Dynamics
- Crowd Dynamics Book
- Crowd Modeling and Simulation
- Mathematical Modeling Crowd Dynamics
- Pedestrian Crowd Dynamics
- Modeling Pedestrian Movement
- Mixed Traffic Models
- Mixed Traffic Modeling
- Mixed Traffic Simulation
- Collective Behavior Modeling
- Control of Crowd Dynamics
- Data-driven Crowd Simulation
- Data-driven Crowd Modeling
- Crowd Behavior Dynamics
- Pedestrian Flow Experiments
- Crowd Dynamics Theory
About this book
- 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 therapidly growing field of modeling and simulation of human crowds.
Editors and Affiliations
Bibliographic Information
Book Title: Crowd Dynamics, Volume 2
Book Subtitle: Theory, Models, and Applications
Editors: Livio Gibelli
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/978-3-030-50450-2
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-50449-6Published: 24 October 2020
Softcover ISBN: 978-3-030-50452-6Published: 25 October 2021
eBook ISBN: 978-3-030-50450-2Published: 23 October 2020
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: VII, 222
Number of Illustrations: 11 b/w illustrations, 45 illustrations in colour
Topics: Complex Systems, Mathematical Modeling and Industrial Mathematics, Statistical Physics and Dynamical Systems