Real-time control of individual agents for crowd simulation

This paper presents a novel approach for individual agent’s motion simulation in real-time virtual environments. In our model, we focus on addressing two problems: 1) the control model for local motions. We propose to represent a combination of psychological and geometrical rules with a social and physical forces model so that it can avoid individual agent’s local collision. 2) Global path planning algorithm with moving obstacle. We propose a more efficient algorithm by extending the indicative route method. Experimental results show that the proposed approach can be tuned to simulate different types of crowd behaviors under a variety of conditions, and can naturally exhibit emergent phenomena that have been observed in real crowds. Keywords Crowd simulation . Path planning . Virtual environments . Individual agents controlling

• Type: Journal
• Year: 2011
• Where: MTA
• Authors: Yunbo Rao, Leiting Chen, Qihe Liu, Weiyao Lin, Yanmei Li, Jun Zhou
• Keywords: Emergent Phenomena, Hardware, Motion Simulation, MTA 2011, Virtual Environments