Premium
A perception‐based emotion contagion model in crowd emergent evacuation simulation
Author(s) -
Liu Zhen,
Liu Tingting,
Ma Minhua,
Hsu HuiHuang,
Ni Zhongrui,
Chai Yanjie
Publication year - 2018
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.1817
Subject(s) - computer science , crowd simulation , perception , aggregate (composite) , crowd psychology , human–computer interaction , computer security , simulation , artificial intelligence , crowds , psychology , neuroscience , materials science , composite material
With the increasing number of emergencies, the crowd simulation technology has attracted wide attention in the recent years. Existing emergencies have shown that individuals are easy to be influenced by others' emotion during the evacuation. This will make it easier for people to aggregate together and increase security risks. Some of the existing evacuation models without considering emotion are therefore not suitable for describing crowd behaviors in emergencies. We propose a perception‐based emotion contagion model and use multiagent technology to simulate crowd behaviors. Navigation points are introduced to guide the movement of the agents. Based on the proposed model, a prototype simulation system for crowd emotion contagion is developed. The comparative simulation experiments verify that the model can effectively deduct the evacuation time and crowd emotion contagion. The proposed model could be an assistant analysis method for crowd management in emergencies.