In this paper, the researchers propose a Crowd Evacuation Simulation and Analysis framework for the formulation and evaluation of effective evacuation strategies in large buildings, using real-scale building structures and agent based approach. They first demonstrate the functionality of the algorithm using a simplistic example and then apply the algorithm in a campus evacuation case study using three scenarios. The main goal of this research is to assist regulatory authorities in developing effective disaster management plans through the use of evacuation simulation modeling methods and tools.
Experimenting with emergency evacuation strategies in the real world may be too expensive, dangerous, or just impossible. On the contrary, evacuation simulation models are low cost, time independent and offer a harmless experimental environment. Therefore, they become useful in replicating real scenarios in the risk-free world. Modelers can perform different experiments to gain the insights of the system and compare different strategies to determine the optimal solutions.
Crowd simulation focuses on the execution of multi-scenario evacuation strategies using all available exits, identifying and overcoming possible bottleneck areas in the building, emergence of unforeseen behavior of the crowd as a whole and much more.
Campus Building ground floor