摘要
传统元胞自动机疏散模型中,空间多划分为微观层面的精细网格,难以对大范围的疏散场景进行模拟.基于此,本文结合行人流的运动特征,建立了应用于大尺度人员疏散场景的人员疏散介观元胞自动机模型.该模型以道路元胞划分替代平面网格元胞划分方式,并引入“源加载”元胞加载模拟场景内疏散人员,建立元胞间状态转移方程模拟疏散过程中的人员运动.应用该模型,对高校校园进行疏散子网划分,模拟应急疏散过程并规划疏散路径,既可以对场景内宏观疏散情况进行分析,又可以观测单个元胞的状态变化.基于模拟结果,能够发现实际疏散过程中可能存在的问题,提出相应的改进指引和意见.
In the traditional cellular automata evacuation model,the space is divided into fine grids at a micro level,which is mainly used in a two-dimensional plane case.The evacuation space is mostly a small-scale architectural space or local area.Therefore,it is difficult to simulate a wide range of evacuation scenario,and there are less researches of the cellular automata model for a wide range of evacuation.Therefore,this article combines the movement characteristics and status of the pedestrian flow to establish a mesoscopic cellular automata model of evacuation applied to larger evacuation scenarios.This model uses road cell division instead of planar grid cell division,which augments the area of a single cell physically,increases the number of people occupied by a single cell,and expresses the number of people in each cell in the form of state variables.By changing personnel density and personnel speed,and by introducing“source loading”cell loading to simulate the evacuation of people in the scene,the behavior of pedestrians evacuating from the building to the road in the actual evacuation process can be simulated.The state transition equation simulates the movement of people in the evacuation process.When the number of people in the cell is larger,the density of people in the cell is higher,and their walking speed also decreases,which reflects the distribution and movement characteristics of pedestrian flow.This paper uses this model to divide the evacuation area of the college campus,and divides the entire campus into four evacuation areas.The evacuees in each area are evacuated corresponding to the corresponding exit,by planning the evacuation path,pedestrians walking from the“source loading”cell to the exit for evacuation.Through simulation,it is possible to analyze the macro-evacuation situation in the scene and observe the status change of a single cell.There are observed a high density of people in local road sections during campus evacuation,and the problem about the distribution of people on campus problems such as unevenness of pedestrian distribution and long evacuation schedules in certain places.Through the simulation of this model,possible problems in the actual evacuation process are found,and the improvement guidance and opinions are presented correspondingly.
作者
吕伟
汪京辉
房志明
毛盾
LüWei;Wang Jing-Hui;Fang Zhi-Ming;Mao Dun(China Research Center for Emergency Management,Wuhan University of Technology,Wuhan 430070,China;School of Safety Science and Emergency Management,Wuhan University of Technology,Wuhan 430070,China;Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2021年第10期76-84,共9页
Acta Physica Sinica
基金
国家自然科学基金(批准号:52072286)
中国博士后科学基金(批准号:2018M632937)
中央高校基本科研业务费专项资金(批准号:2019IVA075,2019III053GX)资助的课题
关键词
介观元胞自动机
大尺度模拟
人员疏散
分区疏散
mesoscopic cellular automata
large-scale simulation
pedestrian evacuation
partition evacuation
