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Simulating Crowds in Egress Scenarios / by Vinícius J. Cassol, Soraia R. Musse, Cláudio R. Jung, Norman I Badler.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Author/Creator:
Cassol, Vinícius J., author.
Musse, Soraia R., author.
Jung, Cláudio R., author.
Badler, Norman I., author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Language:
English
Subjects (All):
Computer simulation.
Optical data processing.
User interfaces (Computer systems).
Software engineering.
Simulation and Modeling.
Image Processing and Computer Vision.
User Interfaces and Human Computer Interaction.
Software Engineering.
Local Subjects:
Simulation and Modeling.
Image Processing and Computer Vision.
User Interfaces and Human Computer Interaction.
Software Engineering.
Physical Description:
1 online resource (VIII, 107 pages) : 55 illustrations, 47 illustrations in color
Edition:
First edition 2017.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
This book describes from a computer science viewpoint the software, methods of simulating and analysing crowds with a particular focus on the effects of panic in emergency situations. The power of modern technology impacts on modern life in multiple ways every day. A variety of scientific models and computational tools have been developed to improve human safety and comfort in built environments. In particular, understanding pedestrian behaviours during egress situations is of considerable importance in such contexts. Moreover, some places are built for large numbers of people (such as train stations and airports and high volume special activities such as sporting events). Simulating Crowds in Egress Scenarios discusses the use of computational crowd simulation to reproduce and evaluate egress performance in specific scenarios. Several case studies are included, evaluating the work and different analyses, and comparisons of simulation data versus data obtained from real-life experiments are given.
Contents:
Introduction
Background Review
Crowd Simulation
Case Studies
Crowd Analysis Based on Computer vision
Final Remarks. .
Other Format:
Printed edition:
ISBN:
978-3-319-65202-3
9783319652023
Access Restriction:
Restricted for use by site license.

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