一种基于方向模糊可视域的行人流疏散仿真研究

通过定义行人方向模糊可视域，改进了层次域元胞自动机模型.模型中，行人目标位置选择行为受到距可选位置的相对距离、方向模糊可视域内的行人之间的排斥力和吸引力三种因素的共同作用.分别模拟单个出口和四个出口，行人服从均匀分布的疏散场景.仿真结果显示，该模型不依赖于各因素的影响系数，从而避免了影响系数量化过程的主观性和疏散系统的限制性；该模型能够有效地模拟阻塞聚集，双拖尾等宏观自组织现象；在疏散过程中，如果行人保持一个适中的视野半径，就能够有效地提高行人流疏散效率.该研究有助于相关行人流疏散策略和方案的制定.

Simulation of Pedestrian Flow Evacuation Based on Direction Fuzzy Visual Field

This paper defines the direction fuzzy visual field to modify the floor field cellular automata model. When a pedestrian choosing the next target position, his behavior is affected by the shortest distance from the pedestrians to the target position, the repulsive force and the attractive force between pedestrians in direction fuzzy visual field. It simulates the scenes of a single exit and four exits in the condition of pedestrian''s uniform distribution. Simulation results indicate that the model does not have to rely on the influence coefficient of every factor. Therefore, it avoids the subjectivity and the limitations of evacuation system in the process of making these factors. And the model can effectively present the macroscopic selforganization phenomena of pedestrian flow, such as jamming and clogging, a phenomenon of double trailing, etc. Moreover, if pedestrians can keep a moderate radius of view in direction fuzzy visual field, it should effectively improve the evacuation efficiency of pedestrian flow. The present study is helpful for devising evacuation strategies and schemes in buildings that are similar to the pedestrian flow.