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Produktbild: Simulating Crowds in Egress Scenarios

Simulating Crowds in Egress Scenarios

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Beschreibung

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...

Beschreibung

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 simulationdata versus data obtained from real-life experiments are given.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.08.2018

Abbildungen

VIII, 107 p. 55 illus., 47 illus. in color.

Verlag Springer

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.08.2018

Abbildungen

VIII, 107 p. 55 illus., 47 illus. in color.

Verlag Springer
Seitenzahl

107

Maße (L/B/H)

23,5/15,5/0,7 cm

Gewicht

189 g

Auflage

Softcover reprint of the original 1st ed. 2017

Sprache

Englisch

ISBN

978-3-319-87973-4

Herstelleradresse

Springer-Verlag GmbH
Europaplatz 3
69115 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Simulating Crowds in Egress Scenarios
  • Introduction.- Background Review.- Crowd Simulation.- Case Studies.- Crowd Analysis Based on Computer vision.- Final Remarks.