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Simulating crowds in egress scenarios
~
Cassol, Vinicius J.
Simulating crowds in egress scenarios
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Simulating crowds in egress scenarios/ by Vinicius J. Cassol ... [et al.].
其他作者:
Cassol, Vinicius J.
出版者:
Cham :Springer International Publishing : : 2017.,
面頁冊數:
viii, 107 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Crowds - Simulation methods. -
電子資源:
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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Introduction -- Background Review -- Crowd Simulation -- Case Studies -- Crowd Analysis Based on Computer vision -- Final Remarks.
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