摘要
为了提高人群行为模拟的有效性,基于人群行为特点对社会力模型做改进研究。针对社会力模型仿真速度跃变与实际情况不符的问题,考虑人员运动实际情况并结合人体承受能力对社会力模型作修正;针对仿真时出现的人员多次碰撞与速度振荡现象,发挥人的主观能动性,运用模糊规则对社会力模型中人员作用范围系数进行优化,结果显示,优化后的模型能有效减少人员碰撞次数与速度振荡现象;综合分析上述优化结果,将人员承受能力与模糊规则结合使用,建立基于限制条件与模糊规则的混合修正模型。
In order to improve the effectiveness of crowd behavior simulation,this paper improves the social force model based on the characteristics of crowd behavior.Firstly,in view of the problem that the speed jump will occur during the simulation of social force model is inconsistent with the actual situation,the social force model is modified considering the actual situation of human movement and combining with the human bearing capacity.Secondly,aiming at the phenomenon of multiple collisions and velocity oscil⁃lations in simulation,fuzzy rules are used to optimize the personnel range coefficient in social force model,so as to give full play to the subjective initiative of personnel.The results show that the opti⁃mized model can effectively reduce the number of collisions and velocity oscillation.Finally,based on the analysis of the above optimization results,a hybrid-modified model is established based on restrictive conditions and fuzzy rules.
作者
刘世松
马鸿雁
LIU Shi-song;MA Hong-yan(School of Electrical and Information Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Key Laboratory of Intelligent Processing for Building Big Data,Beijing 100044,China;National Virtual Simulation Experimental Center for Smart City Education,Beijing 100044,China)
出处
《消防科学与技术》
CAS
北大核心
2020年第6期860-864,共5页
Fire Science and Technology
基金
北京建筑大学博士基金项目(ZF15054)。
关键词
消防
社会力模型
模糊规则
相对速度
限制条件
fire control
social force model
fuzzy rule
relative speed
restrictive conditions
