|
|
|
|
| LEADER |
02455nmm a2200361 u 4500 |
| 001 |
EB001726351 |
| 003 |
EBX01000000000000000964605 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
180102 ||| eng |
| 020 |
|
|
|a 9783319652023
|
| 100 |
1 |
|
|a Cassol, Vinícius J.
|
| 245 |
0 |
0 |
|a Simulating Crowds in Egress Scenarios
|h Elektronische Ressource
|c by Vinícius J. Cassol, Soraia R. Musse, Cláudio R. Jung, Norman I Badler
|
| 250 |
|
|
|a 1st ed. 2017
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2017, 2017
|
| 300 |
|
|
|a VIII, 107 p. 55 illus., 47 illus. in color
|b online resource
|
| 505 |
0 |
|
|a Introduction -- Background Review -- Crowd Simulation -- Case Studies -- Crowd Analysis Based on Computer vision -- Final Remarks.
|
| 653 |
|
|
|a User interfaces (Computer systems)
|
| 653 |
|
|
|a Software engineering
|
| 653 |
|
|
|a Image Processing and Computer Vision
|
| 653 |
|
|
|a Computer simulation
|
| 653 |
|
|
|a Software Engineering
|
| 653 |
|
|
|a User Interfaces and Human Computer Interaction
|
| 653 |
|
|
|a Optical data processing
|
| 653 |
|
|
|a Simulation and Modeling
|
| 700 |
1 |
|
|a Musse, Soraia R.
|e [author]
|
| 700 |
1 |
|
|a Jung, Cláudio R.
|e [author]
|
| 700 |
1 |
|
|a Badler, Norman I.
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-65202-3?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 003.3
|
| 520 |
|
|
|a 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
|