Research On Personnel Evacuation Model And Strategy Based On Cellular Automata

With the increasing abundance of cultural and entertainment activities among the Chinese people,densely populated places such as cinemas have become the main carriers of China’s economy and culture.Such places are highly crowded and highly mobile,making it difficult to evacuate personnel in a timely manner in case of emergencies.Therefore,providing appropriate optimized evacuation strategies for densely populated areas based on different evacuation scenarios has important practical significance.However,due to the complexity of the evacuation process and the lack of real evacuation data,this article chooses to build an evacuation simulation model based on cellular automata for personnel evacuation research.The main innovation of the model lies in setting up a mechanism for handling competitive conflicts and reproducing the competitive behavior during the evacuation process.Based on the constructed simulation model,select a representative stepped building site-the cinema-to conduct evacuation strategy research.Simulate different evacuation scenarios by changing the building layout,perceived environment,and personnel factors.Finally,by comparing and analyzing the simulation results of a large number of evacuation scenarios,some corresponding optimized evacuation strategies are proposed.The main research content and results of this article include:(1)Determine environmental noise as a factor affecting evacuation,and design noise impact experiments to quantify the impact.Based on the theory of environmental stress,an experimental hypothesis is proposed that heterogeneous individuals exhibit differences in their response abilities under different noise environments.The results confirmed that different noise intensities,types,and genders have a significant impact on personnel’s response ability.Among them,there are significant differences in task completion time between personnel of different genders under devices with a noise level of over 60 d B and mixed noise.The results of experimental task time consumption are then introduced into the competitive conflict processing mechanism of the simulation model.(2)Construct an evacuation simulation model based on cellular automata.The model construction process is divided into: grid building site information and digitization of personnel attributes;Determine the evacuation individual path planning,and use the Dijkstra algorithm for the shortest path algorithm;The evacuation mode is set to synchronous update,with a mechanism for handling competition conflicts and 6rules for personnel movement.The main innovation of the model lies in the mechanism for handling competition conflicts and the setting of speed reduction after personnel movement is blocked.The value of the competitiveness parameter is based on some noise experimental results.(3)Analyze and summarize evacuation strategies based on the comparison of simulation results for different evacuation scenarios.Design evacuation scenarios with different evacuation update modes,exit combinations,noise environment,and personnel distribution.The case simulation results show that adjusting the evacuation strategy can reduce the overall evacuation time by 18.2%.Evacuation strategies include optimizing exit combinations and adjusting seat layout;Setting up sound reinforcement equipment in different zones,optimizing architectural acoustic design,and strengthening acoustic guidance;Limit the number of viewers,regulate the proportion of heterogeneous personnel,and adjust personnel distribution.