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We present a new algorithm to simulate dynamic group behaviors forinteractive multi-agent crowd simulation. Our approach is general and makes noassumption about the environment, shape, or size of the groups. We use theleast effort principle to perform coherent group navigation and presentefficient inter-group and intra-group maintenance techniques. We extend thereciprocal collision avoidance scheme to perform agent-group and group-groupcollision avoidance that can generate collision-free as well as coherent andtrajectories. The additional overhead of dynamic group simulation is relativelysmall. We highlight its interactive performance on complex scenarios withhundreds of agents and compare the trajectory behaviors with real-world videos.

Dynamic Group Behaviors for Interactive Crowd Simulation