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Simulating crowds in egress scenarios

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Simulating crowds in egress scenarios/ by Vinicius J. Cassol ... [et al.].
other author:	Cassol, Vinicius J.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	viii, 107 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Crowds - Simulation methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-65202-3
ISBN:	9783319652023

Simulating crowds in egress scenarios
Simulating crowds in egress scenarios[electronic resource] /by Vinicius J. Cassol ... [et al.]. - Cham :Springer International Publishing :2017. - viii, 107 p. :ill., digital ;24 cm.

Introduction -- Background Review -- Crowd Simulation -- Case Studies -- Crowd Analysis Based on Computer vision -- Final Remarks.

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.

ISBN: 9783319652023

Standard No.: 10.1007/978-3-319-65202-3doiSubjects--Topical Terms:

1197892
Crowds
--Simulation methods.

LC Class. No.: HM871

Dewey Class. No.: 302.33

Simulating crowds in egress scenarios
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505 0 $a Introduction -- Background Review -- Crowd Simulation -- Case Studies -- Crowd Analysis Based on Computer vision -- Final Remarks.
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