Overview
- Focuses on analysing panic behavior in emergency situations
- Analyses inside includes people counting and density estimation, multiple pedestrian tracking and crowd flow estimation
- Incorporates detailed information on software that has been tested in real-life emergency scenarios
- Contains relevant case studies, such as the evacuation of The Brazilian Olympic Stadium
- Includes supplementary material: sn.pub/extras
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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 simulationdata versus data obtained from real-life experiments are given.
Authors and Affiliations
Bibliographic Information
Book Title: Simulating Crowds in Egress Scenarios
Authors: Vinícius J. Cassol, Soraia R. Musse, Cláudio R. Jung, Norman I Badler
DOI: https://doi.org/10.1007/978-3-319-65202-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-65201-6Published: 20 December 2017
Softcover ISBN: 978-3-319-87973-4Published: 31 August 2018
eBook ISBN: 978-3-319-65202-3Published: 08 December 2017
Edition Number: 1
Number of Pages: VIII, 107
Number of Illustrations: 8 b/w illustrations, 47 illustrations in colour
Topics: Simulation and Modeling, Image Processing and Computer Vision, User Interfaces and Human Computer Interaction, Software Engineering