Name
Abstract | ||
|---|---|---|
Crowd simulation has its greatest utility in the study of safety measures for crowded events. However, total evacuation time, which is the most important feature in crowd evacuation, can vary depending on the population, the environment, the adopted strategies to decide routes, but also because people can be panicked or not. This paper presents a model to parametrize crowd simulation allowing to increase or decrease the agents stress. We use BioCrowds model and proposed an extension to consider new parameters to deal with crowd relaxing and compression, as comfort and stress. These two new parameters impact the will to go to the goal and the individual panic in trying to save itself. Indeed, our model could be integrated in other crowd simulators. This work discusses some obtained results and also presents a case study regarding a real scenario. We simulate the Hillsborough Disaster happened in 1989 in order to discuss the reliability of our method. Results indicate that our method can simulate in a coherent way the densities observed in the real life event. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3267851.3267872 | 18TH ACM INTERNATIONAL CONFERENCE ON INTELLIGENT VIRTUAL AGENTS (IVA'18) |
Keywords | Field | DocType |
Crowd simulation, Collision Avoidance, Crowd panic | Population,Panic,Computer science,Crowd evacuation,Operations research,Crowd simulation,Multimedia | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriel Rockenbach | 1 | 0 | 0.68 |
| Conrado Boeira | 2 | 0 | 0.68 |
| Diogo Schaffer | 3 | 0 | 0.68 |
| André Antonitsch | 4 | 0 | 0.68 |
| Soraia R. Musse | 5 | 134 | 17.09 |