Human relationship modeling in agent-based crowd evacuation simulation

Authors:
Masaru Okaya;Tomoichi Takahashi
Affiliations:
Meijo University, Aichi, Japan;Meijo University, Aichi, Japan
Venue:
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Year:
2011

Citing 9
Cited 1

Modifications of the Helbing-Molnár-Farkas-Vicsek Social Force Model for Pedestrian Evolution

Simulation
Modeling Crowd and Trained Leader Behavior during Building Evacuation

IEEE Computer Graphics and Applications
Crowd simulation for emergency response using BDI agent based on virtual reality

Proceedings of the 38th conference on Winter simulation
Controlling individual agents in high-density crowd simulation

SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Crowd Simulation

Crowd Simulation
Emotions to control agent deliberation

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
The RoboCup rescue simulation platform

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison

The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
BDI agent model based evacuation simulation

The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3

An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Crowd evacuation simulations are becoming a tool to analyze and assess the safety of occupants in buildings. Agent-based simulation provides a platform on which to compute individual and collective behaviors that occur in crowds. We propose a human behavior model in evacuation based on the Belief-Desire-Intention (BDI) model and Helbing's agent behavior model. Human relationships affect the states of BDI at each simulation step, and altruism forces among agents are introduced in Helbing's model to affect agents' intentions in calculating agent movements. Two evacuation scenarios are examined so that the results match quantitatively and qualitatively with past disasters. The simulations reveal typical behaviors in a crowd evacuation; for example, family-minded human behaviors that lead to interactions in the crowd and other behaviors. The simulation indicates that due to the interaction it takes a longer time to evacuate from buildings in actual situations.