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Research On Modeling And Application Of Group Behavior In Emergencies

Posted on:2020-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:J X ZhangFull Text:PDF
GTID:2438330575959489Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
In recent years,with the continuous advancement of urbanization process,people in urban public places are becoming more and more crowded,frequent safety incidents,while causing significant loss of life and property to society,they have serious negative impact on economic development and people's travel quality.Organizing evacuation in real environment will consume a lot of manpower and material resources,and even cause casualties.At the same time,it is impossible to predict the impact of pedestrian tension on pedestrian evacuation under emergencies.Therefore,the use of computer simulation of crowd evacuation can help architects to conduct comprehensive analysis and evaluation of pedestrian evacuation corridors in high-rise buildings or public places such as plazas and parks,assist architects to establish more reasonable building layout,and help those in power to establish evacuation schemes in emergencies.It is of great significance to guide people evacuation after terrorist attacks or sudden disasters and to form more perfect hardware support and more efficient on-site guidance strategy.However,how to further improve the authenticity of crowd evacuation simulation is still an urgent problem to be solved.In the evacuation simulation research of crowd behavior,crowd behavior modeling is the core issue of crowd simulation evacuation research.In order to reproduce the specific situation of crowd evacuation more truly,this paper proposes a method of group behavior modeling and Application Research under emergencies.The method consists of three parts:1.A group motion simulation system driven by real data is constructed.Most of the existing evacuation model initial data are random,and the initial data is the basis of pedestrian movement,which directly affects the evacuation status of pedestrians.In this paper,a video tracking software is used to track the crowd.According to the principle of common destiny,the trajectory of the crowd can be calculated to get the small group,the internal and inter-group differences of the small group,and the scene information can be extracted from the video.The information extracted from the video is used as the initialization data of the improved evacuation model to realize the authenticity of the initialization data of the evacuation model.2.A social force model USFM with utility theory is proposed.Most existing evacuation models do not consider the effect of utility theory on pedestrian evacuation.In the process of pedestrian evacuation,the effect of utility theory on pedestrian evacuation can not be ignored.This paper improves the original model of social power by means of intra-group attraction strategy,bypass strategy and utility theory strategy.The improved model realizes three real macro phenomena.First,the same group of pedestrians attracts each other.Second,pedestrians will bypass hazards and obstacles.Thirdly,when choosing exit,pedestrians will take into account the distance of exit,the degree of congestion and the safety of exit,and the Macro-effect of utility theory on pedestrian evacuation.3.A social force model FSFM with the introduction of social comparison theory is proposed.Most of the existing evacuation models do not consider the impact of social comparison theory on pedestrian evacuation,especially in the process of pedestrian evacuation.This paper improves the original social force model by adding the selection of leaders based on social comparison theory among small groups and within small groups,and forming clusters based on social comparison theory among small groups.It really realizes the phenomenon of pedestrians moving towards exports in the form of clusters.The micro phenomenon of social comparison theory is considered in the process of pedestrian evacuation.
Keywords/Search Tags:Social force model, Crowd Evacuation, Path Planning, Data Driven Model
PDF Full Text Request
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