摘要
为提高多障碍物房间的人员疏散效率,利用场域元胞自动机模型并融合经典遗传算法,对2出口和4出口的多障碍物房间进行布局优化和疏散仿真研究。研究结果表明:利用遗传算法可快速寻找最优座椅布局,连排座椅设置在远离出口侧可有效减轻行人疏散时的拥堵程度;经过遗传算法优化后的座椅布局可协调疏散人群到达出口的时间,从而缓解出口通行压力,提高整体疏散效率,保障行人在大型多障碍物房间内的疏散安全。
In order to improve the personnel evacuation efficiency of multi-obstacle room,the layout optimization and evacuation simulation of multi-obstacle rooms with two and four exits were studied by using the floor field cellular automata model and classical genetic algorithm.The results showed that the genetic algorithm could be used to find the optimal seat layout quickly,and it was found through the simulation that the connected seats should be set away from the exit,which could reduce the degree of congestion when the pedestrians enter the aisle from the seating area.The seat layout optimized by the genetic algorithm could coordinate the time for evacuees to arrive at the exit,thereby alleviate the passing pressure of the exit,further improve the overall evacuation efficiency,and ensure the safety of pedestrians evacuating in large multi-obstacle rooms.
作者
陈菲菲
彭立志
周宗财
朱孔金
CHEN Feifei;PENG Lizhi;ZHOU Zongcai;ZHU Kongjin(School of Automotive and Transportation Engineering,Hefei University of Technology,Hefei Anhui 230009,China)
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2022年第6期19-24,共6页
Journal of Safety Science and Technology
基金
国家自然科学基金项目(71704046)
安徽省自然科学基金项目(1808085QG255)
中央高校基本科研业务费项目(JZ2021HGTB0065)。
关键词
多障碍物房间
行人疏散
布局优化
遗传算法
multi-obstacle room
pedestrian evacuation
layout optimization
genetic algorithm
