Computational Modeling of Human Behavior for Emergency Egress Analysis
This writing addresses the problem of bringing the perspectives of
psychology and sociology about human behavior in emergencies into
computational models for egress analysis. Efficacious analysis of
emergency egress is facilitated by incorporation of diverse human
behavior into a Multi-Agent Simulation System for Egress analysis
(MASSEgress). MASSEgress adopts a multi-agent based simulation
paradigm to model evacuees as individual agents equipped with
sensors, brains and actuators. Individual behavior is simulated
through modeling of sensing, decision-making, behavior selection
and motor control. Social behavior is simulated through modeling of
individual behavior and interactions among individuals.
Competitive, queuing, herding, and leader-following behaviors are
modeled. MASSEgress is a computational framework; its modular
design allows easy extensions to include additional behavior types.
Dr. Pan is trained professionally in Architecture, Computer Science and Civil Engineering. He had dual Master's degrees in Architecture and Computer Science, and received a PhD degree in Civil Engineering from Stanford University. Currently he works for CDM Tech., Inc., San Luis Obispo, California, USA, researching AI and agent-based technologies.