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.Public places have been more crowded with the progress of global urbanization. Meanwhile, public safety and crisis management are facing unprecedented challenges with the increasing number of emergencies. In emergencies, overcrowded places become dangerous and would result in a large number of casualties. It has important and practical significance to simulate crowd behaviors in emergencies.After analyzing real incidents of emergencies, we find that existing emergency plans always have problems to cope with changeable emergencies. In emergencies, people easily generate negative emotions and will spread their panic to others. The panic emotion will lead to irrational behaviors. Exploring the law of crowd evacuation behaviors will help us develop a scientific crowd management plan and reduce the emergent evacuation risk. However, it is not suitable to observe crowd behaviors from evacuation drills, as those drills will be constrained by space, cost, or time and cannot be Comput Anim Virtual Worlds. 2018;29:e1817.wileyonlinelibrary.com/journal/cav