Position-Based Multi-Agent Dynamics for Real-Time Crowd Simulation

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Date
2017
Journal Title
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Volume Title
Publisher
ACM
Abstract
Exploiting the e ciency and stability of Position-Based Dynamics (PBD), we introduce a novel crowd simulation method that runs at interactive rates for hundreds of thousands of agents. Our method enables the detailed modeling of per-agent behavior in a Lagrangian formulation. We model short-range and long-range collision avoidance constraints to simulate both sparse and dense crowds. The local short-range interaction is represented with collision and frictional contact between agents, as in the discrete simulation of granular materials.We incorporate a cohesion model for modeling collective behaviors and propose a new constraint for dealing with potential future collisions. Our new real-time crowd simulation method is suitable for use in interactive games.
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@inproceedings{
10.1145:3099564.3108160
, booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters
}, editor = {
Bernhard Thomaszewski and KangKang Yin and Rahul Narain
}, title = {{
Position-Based Multi-Agent Dynamics for Real-Time Crowd Simulation
}}, author = {
Weiss, Tomer
and
Litteneker, Alan
and
Jiang, Chenfanfu
and
Terzopoulos, Demetri
}, year = {
2017
}, publisher = {
ACM
}, ISBN = {
978-1-4503-5091-4
}, DOI = {
10.1145/3099564.3108160
} }
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