摘要
应用元胞自动机和人工智能原理模拟人员的疏散,研究了"分块划分"情况下个体的智能寻径行为以及当出口人员密度达到一定阀值时群体运动的规律,发现分块划分条件下人员的行为与现实中人的寻径及避障行为更接近;采用"出口处群体运动"与单独采用个体运动算法相比,同等计算机资源条件下,最大疏散人数得到了提高,而在同等人员属性配置下,在一定范围内,疏散时间变化不大。结果表明分块划分与出口"群体运动模拟"能够减少硬件本身对结果的影响,从且保证了结果的有效性,是一种模拟真实场景紧急疏散的可行方法。
Simulate crew＇s evacuation by using cellular automaton and artificial intelligence theory. Study the action of auto-path searching and the rule of crew＇s movement when the density of the crew reached a numerical value under the situation of ＂area division＂. We find out crew＇s action of obstacle avoiding and path searching under the condition of Area division is more likely to match the reality. Compared with the individual movement, crew＇s movement proved that with the same computer resource supplied, the number of evacuated crew has increased, at the same configuration of crowd, the time of evacuation does not change a lot. The result indicates that Area division and ＂simulation of crew＇s movement＂ can reduce the impact on the result and in the meantime ensure the result＇s validity. It is a practical measure to simulate an urgent evacuation under a real situation.
出处
《计算机系统应用》
2012年第6期182-185,共4页
Computer Systems & Applications
关键词
元胞自动机
人群疏散
分块划分:寻径
群体运动
cellular automaton
crowd evacuation
area division
path searching
group activities
