Simulating Crowds in Egress Scenarios

Author:   Vinícius J. Cassol ,  Soraia R. Musse ,  Cláudio R. Jung ,  Norman I Badler
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319652016


Pages:   107
Publication Date:   20 December 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Simulating Crowds in Egress Scenarios


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Overview

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.

Full Product Details

Author:   Vinícius J. Cassol ,  Soraia R. Musse ,  Cláudio R. Jung ,  Norman I Badler
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Weight:   0.454kg
ISBN:  

9783319652016


ISBN 10:   331965201
Pages:   107
Publication Date:   20 December 2017
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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