Large Scale Pedestrian Multi-Simulation for a Decision Support Tool

Abstract

Ability to simulate pedestrian behaviour on a large scale is essential in identifying potential dangers in public spaces during an evacuation. Multiple designs must be tested with varying parameters and run multiple times to achieve statistical significance due to the model's stochastic nature. In this short paper, we describe our prototype decision support tool that enables concurrent simulation on GPU-enabled computers by merging them to increase efficiency and dispatching simulation jobs across multiple machines on the network. Preliminary results with our GPU-optimised model have been shown to run at faster than real-time simulation speeds.