AGENT SIMULATION FOR PREDICTION OF POST-EARTHQUAKE MASS EVACUATION

Abstract

An agent simulation is developed to predict unorganized emergency evacuation process of crowds consisting of various people. An agent is able autonomously to see, think and move; the distribution of its speed is the same as the walking speed distribution which is measured by analyzing video images of people running in an emergency state, and a model for an evacuation space is automatically constructed from digital data which are stored in GIS or CAD. The simulation is carried out to a network of narrow streets, subway stations and a large underground shopping mole. It is shown that the developed agent simulation is able to simulate unorganized state of mass evacuation and to analyze risk of the evacuation space.