Aggregate dynamics for dense crowd simulation
Large dense crowds show aggregate behavior with reduced individual freedom of movement. We present a novel, scalable approach for simulating such crowds, using a dual representation both as discrete agents and as a single continuous system. In the continuous setting, we introduce a novel variational...
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| Veröffentlicht in: | ACM transactions on graphics 2009-12, Vol.28 (5), p.1-8 |
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| container_title | ACM transactions on graphics |
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| creator | Narain, Rahul Golas, Abhinav Curtis, Sean Lin, Ming C |
| description | Large dense crowds show aggregate behavior with reduced individual freedom of movement. We present a novel, scalable approach for simulating such crowds, using a dual representation both as discrete agents and as a single continuous system. In the continuous setting, we introduce a novel variational constraint called unilateral incompressibility, to model the large-scale behavior of the crowd, and accelerate inter-agent collision avoidance in dense scenarios. This approach makes it possible to simulate very large, dense crowds composed of up to a hundred thousand agents at near-interactive rates on desktop computers. |
| doi_str_mv | 10.1145/1618452.1618468 |
| format | Article |
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| ispartof | ACM transactions on graphics, 2009-12, Vol.28 (5), p.1-8 |
| issn | 0730-0301 1557-7368 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_743678149 |
| source | ACM Digital Library Complete |
| subjects | Aggregates Collision avoidance Computer simulation Dynamical systems Dynamics Incompressibility Mathematical models Representations |
| title | Aggregate dynamics for dense crowd simulation |
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