EvacAgent: A Building Emergency Evacuation Simulation Model Based on Agent

The building emergency evacuation model not only can help emergency rescue, but also provide technical support for building safety evacuation design evaluation and optimization. This paper presents a new building emergency evacuation simulation model - EvacAgent, which is developed applying Agent-based Modeling (ABM) method. Two important promotions are performed in the model comparing (compared) with other ones: 1) a new path selection strategy based on personal knowledge on the building environment but not the widely used global optimal path selection strategy of agent is proposed, which gives more consistent with the reality to the model. 2) The interaction between the individuals and the evacuation signs is considered in the model that is generally ignored in other ones, which makes more realistic evacuation simulation. In this paper, the modeling method (including Agent, environment, evacuation signs and Agent behavior rule) and the structure of the model are described, and an emergency evacuation simulation case of a large supermarket is performed. It is proved by the statistical analysis results given by the model that the characteristics of the evacuation simulation are consistent with the real situation, but some problems affecting the simulation results are also found, for example the environmental memory of Agent is not well described in the model.

[1]  Zeng Wen-yi A multi-exit occupant evacuation model based on fuzzy cellular automaton , 2013 .

[2]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[3]  Katsuhiro Nishinari,et al.  Simulation for pedestrian dynamics by real-coded cellular automata (RCA) , 2007 .

[4]  Tian Yu-min Study on evaluation of safety evacuation in buildings based on performances , 2005 .

[5]  Edwin R. Galea,et al.  Experimental analysis of the effectiveness of emergency signage and its implementation in evacuation simulation , 2012 .

[6]  Xu Xin-he Research of Emergency Evacuation System Simulation Based on Cellular Automata , 2007 .

[7]  T. Nagatani Dynamical transition and scaling in a mean-field model of pedestrian flow at a bottleneck , 2001 .

[8]  Robert L. Goldstone,et al.  Computational models of collective behavior , 2005, Trends in Cognitive Sciences.

[9]  Edwin R. Galea,et al.  Signage Legibility Distances as a Function of Observation Angle , 2007 .

[10]  Chieh-Hsin Tang,et al.  Using virtual reality to determine how emergency signs facilitate way-finding. , 2009, Applied ergonomics.

[11]  M. B. N. Horasan Occupant evacuation and orientation problems in large halls - An exhibition building case study , 1999 .

[12]  Li Qi The Current Situation,Issues and Trends of Evacuation Modeling in Emergency , 2008 .

[13]  Nuria Pelechano,et al.  Evacuation simulation models: challenges in modeling high rise building evacuation with cellular automata approaches , 2008 .