Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Modeling Individual Behaviors in Crowd Simulation
CASA '03 Proceedings of the 16th International Conference on Computer Animation and Social Agents (CASA 2003)
Scenario description for multi-agent simulation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Clone attack! Perception of crowd variety
ACM SIGGRAPH 2008 papers
Being a part of the crowd: towards validating VR crowds using presence
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Verification and validation of simulation models
Proceedings of the 40th Conference on Winter Simulation
Augmented experiment: participatory design with multiagent simulation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Validation of agent based crowd egress simulation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Agent communication in distributed simulations
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Extending time management support for multi-agent systems
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Layering social interaction scenarios on environmental simulation
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Towards a quantitative approach for comparing crowds
Computer Animation and Virtual Worlds
| Hi-index | 0.00 |
We present a novel automated technique for the quantitative validation and comparison of multi-agent based crowd egress simulation systems. Despite much progress in the simulation technology itself, little attention has been accorded to the problem of validating these systems against reality. Previous approaches focused on local (spatial or temporal) crowd patterns, and either resorted to visual comparison (e.g., U-shaped crowd at bottlenecks), or relied on ad-hoc applications of measures such as egress rates, densities, etc. to compare with reality. To the best of our knowledge, we offer the first systematic and unified approach to validate the global performance of a multi-agent based crowd egress simulation system. We employ this technique to evaluate a multi-agent based crowd egress simulation system that we have also recently developed, and compare two different simulation technologies in this system.