Simulation of Emergency Evacuation in School Building

Abstract

The lack of crowd evacuation losses casualties and huge economic losses. The agent-based methods have been successfully employed by some scholars to reduce the loss by simulating behavior of pedestrian in case of emergency evacuation; but these models haven’t not considered the people's psychological activity so that the simulating evacuation can not generate a practical evacuation plan. We proposed a model to simulate evacuation with Rule Base (KB) in a complex building architecture. The model employs a system of self-moving pedestrian intelligence models (SMPIM) whose motion is governed by the social-force model. KB contains the behavioral decision rules and the mental activity rules. The experiment shows the number of exits affects the total evacuation time. Based on the result analysis, the analysis of congestion bottleneck problem helps improve evacuation efficiency.