基于Agent和元胞的火灾逃生仿真模型应用研究

在分析传统离散元胞模型和Agent-based仿真模型的基础上,针对其不足进行了改进,提出了一种新的仿真模型,并利用该模型对火灾现场的逃生人流进行了仿真,为车站、广场的设计提供决策依据.该模型是对离散元胞模型和Agent-based模型的综合,它在充分考虑逃生人员的个体差异外,给出了人员的移动方向和速度的连续性方程,该方程反映了个人判断能力、移动能力、从众心理、邻域内人员的行为、人员密度、周围的客观环境等因素对其行动的影响,较为真实地反映了火灾中人的逃生行为.论文最后介绍了该模型的实现算法和仿真结果.

Simulation of Escape from Fire Based on Agent and Cellular Automaton

Based on the analysis of traditional discrete cellular and Agent-based model frame,a simulation model was proposed and was used to simulate the process of escape from fire.Synthesizing the discrete cellular and Agent-based model,considering the personal difference of sense and speed,the continue equations of moving speed and angle were given.The equations,taking into account the sense,speed,the adjacent persons,the person density and the environment simulates,reflect the process of escape from fire accurately.The algorithm and an example were introduced.