Simulation Of Pedestrian Path Under Spatial Multi-Scale Division

With the accelerating process of urbanization,population aggregation effect has further appeared.Growing material and cultural needs of the people put forward higher requirements for the design and optimization of various walking scenes and spaces,and also bring greater challenges to the organization,management and control of pedestrian flow.As a hotspot in the field of pedestrian traffic flow,pedestrian path research helps to provide theoretical basis and technical support for walking space planning and design as well as pedestrian flow organization and management.It is of great significance to ensure walking safety and efficiency.In order to simulate the paths of pedestrians in walking scenes of various scales,this study intends to build a cellular automata model under spatial multi-scale division.In this study,"cells" are divided into multiple scales according to walking environment.Starting from the influence mechanism of obstacles on pedestrian walking efficiency and path selection,environmental coefficient is defined to reflect the friction and retardation effect of obstacles on pedestrians;Hinge cells are introduced to show the repulsion and isolation effect,and the shortest path chain is determined to manifest the guidance and indication effect.Based on these factors,the shortest estimated distance between pedestrian and(temporary)target point in continuous space is proposed,and the static field in walking space is generated.In terms of the movement rules,the study defines the maximum movement benefit to find the path highly consistent with the shortest path chain,and construct the movement probability to ensure that the walking time of pedestrians on the path is consistent with the reality;Considering pedestrian interaction and individual differences between pedestrians,the model externalizes the density-speed relation of pedestrians affected by other pedestrians in the "cell" into the change of movement benefit and probability when pedestrians move in their own static field.Based on the above,the model reproduces the actual walking path and process under pedestrian interaction to the greatest extent.The study uses different types of typical scenes to test the simulation effect of the model on pedestrian walking path,and discusses the application value of the model in pedestrian walking space design,path guidance and environment optimization.It also analyzes the applicability of the model in scenes with different degrees of movement freedom,so as to provide theoretical basis and technical support for pedestrian walking space planning and design as well as pedestrian flow organization and management.