Abstract
Making unconventional emergent plan for dense crowd is one of the critical issues of evacuation simulations. In order to make the behavior of crowd more believable, we present a real-time evacuation route approach based on emotion and geodesic under the influence of individual emotion and multi-hazard circumstances. The proposed emotion model can reflect the dynamic process of individual in group on three factors: individual emotion, perilous field, and crowd emotion. Specifically, we first convert the evacuation scene to Delaunay triangulation representations. Then, we use the optimization-driven geodesic approach to calculate the best evacuation path with user-specified geometric constraints, such as crowd density, obstacle information, and perilous field. Finally, the Smooth Particle Hydrodynamics method is used for local avoidance of collisions with nearby agents in real-time simulation. Extensive experimental results show that our algorithm is efficient and well suited for real-time simulations of crowd evacuation.
Highlights
With the rapid development of society, densely populated places are increasing, and the security safety of the crowds is becoming more and more prominent, and the crowd trampling is an extreme event in natural crowd motion
Emotional Reciprocal Velocity Obstacles (ERVO) model [5] improved the RVO with integrating the emotional effect into velocity decision, but it is limited for path planning
We focus on the path planning problem in evacuation simulation
Summary
With the rapid development of society, densely populated places are increasing, and the security safety of the crowds is becoming more and more prominent, and the crowd trampling is an extreme event in natural crowd motion. Evacuation simulation is using computer to establish an effective simulation scene model to help solve the crowd evacuation behaviour in public environment. The emotional state of an individual plays a vital role in his/her decision-making and is influenced by others emotions. This process can be called emotional contagion [2]. Emotional Reciprocal Velocity Obstacles (ERVO) model [5] improved the RVO with integrating the emotional effect into velocity decision, but it is limited for path planning. With the development of crowd simulation technology, the traditional path planning method has been improved, the real-time path planning in evacuation simulation still faces many challenges
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