Position-Based Multi-Agent Dynamics for Real-Time Crowd Simulation
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Date
2017
Journal Title
Journal ISSN
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.
Description
@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}
}