Research On Recognition Method Of Hedge Pedestrian Popularity As Pattern

With the rapid development of social economy,the process of urbanization is more and more quickly,the urban population and the concentration of resources,more and more pedestrian gathering activities,in the transportation hub,shopping center,the school campus will form a line crowded traffic,line in the crowded people in these places not only causes the pedestrian work time delays,and leads to more and more fire,trample,such as mass catastrophic accidents,but also threatens the line in the pedestrian safety.How to construct a scientific,effective and reasonable safe evacuation scheme to avoid major accidents and ensure the safety of pedestrians has become a problem that needs to be solved in the study of pedestrian traffic.Using the computer simulation model,we can find out the bottleneck area which is easy to form congestion in the process of evacuation,and also compare the design schemes.Computer simulation models can be divided into macro models and micro models.Micro behavior modeling is the main direction of pedestrian evacuation model research at present.Pedestrians make micro behavior decisions based on environmental information and carry out membership function modeling along with it.It is of great significance to prevent the occurrence of crowding and stampede and to improve the evacuation efficiency of pedestrians.Based on the theory of fuzzy mathematics,a method to identify the decision-making pattern of pedestrian behavior is established by using the research methods of experiment and investigation.The pedestrian flow hedging experiment was organized to obtain the environmental condition data of micro-behaviors,such as turning,slowing down,following,stopping,etc.,and then the psychological condition data of behavioral decision making was obtained through the questionnaire.The behavioral decision area and decision function were established,and the simulation model of micro-behaviors of pedestrians was established accordingly.The model is validated by density-flow experiment and canalization selforganization experiment.The research contents of this paper are as follows:1.Firstly,literature was reviewed to review the research results of pedestrian evacuation model and pedestrian flow micro model,so as to provide ideas and technical support for the research on the model of hedging the popularity of pedestrians.2.he video of the process of hedging the pedestrian flow is obtained in various ways,and the pedestrian flow is observed from different angles.The video is analyzed to extract the pedestrian flow data.questionnaire data.3.Questionnaires were designed to obtain dynamic environmental data of behavioral decision-making,and a pedestrian behavior decision-making model was established based on the dynamic environmental impact.The factors affecting behavioral decision-making were expressed as densities and behavior probability relationship functions.4.The simulation program of the model was compiled,and the simulation experimental data of densities and flows were obtained by simulating the evacuation process of the hedged pedestrian flow.The channelization self-organization experiment of the hedged pedestrian flow was carried out to verify the reliability of the model.