摘要
基于元胞自动机模型对公众场合火灾中人员疏散进行研究,通过对火灾中疏散个体微观建模,结合人工势场将影响人行为的火、门和障碍物等各种因素量化,构建出元胞的移动规则,从而确定元胞下一时间步长的移动路径.仿真结果显示,该系统能够较真实地模拟人员疏散过程.
In this paper, a new approach is proposed to solve urgent evacuation in fire disaster by combining artificial potential field with cellular automata model. First, aiming at the evacuated individual in fire, a micro-model is established using potential field in which factors influencing human behavior are quantified. Second, several cellular-mobile rules are constructed based on the above model to describe the next step of walking path. Finally, the evacuation system is simulated by VC＋ ＋ developing environment to represent the entire dynamic process, and then collects the data about two cases： whether to open emergency exits and whether to conduct personnel persuasion. Simulation results show this system can describe the evacuation process accurately, which can provide us with detailed guidance.
出处
《河南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2012年第5期161-164,共4页
Journal of Henan Normal University(Natural Science Edition)
基金
河南省基础与前沿技术研究计划项目(122300410111)
河南师范大学青年科学基金(2011QK25)
关键词
人员疏散
元胞自动机
人工势场
人员疏导
安全通道
crowd evacuation
cellular automata
artificial potential field
personnel persuasion
exit
