基于元胞传输模型的楼梯区域行人运动

针对楼梯区域行人运动进行观测实验,获得行人上下楼过程中的运动数据,通过对数据进行整理与分析,绘制不同过程中流量-密度变化关系图.通过对流密关系图进行定量分析,掌握楼梯区域行人运动特征,并改进原有元胞传输模型,提出楼梯行人运动模型,仿真模拟行人运动过程.模型中,引入势能修正系数,利用异向行人对元胞势能的影响来改变行人的路径选择;引入流量修正系数,描述不同的物理参数对元胞边界最大流量的影响;引入偏移系数,修正移动规则,增强优先方向对行人路径选择行为的影响.然后,通过比较仿真结果与实验数据,对模型及引入参数进行验证和校准.最后,利用校正模型,模拟研究楼梯区域对向行人运动过程,并对势能修正参数进行了灵敏度分析,进一步研究模型参数对行人运动的影响.研究表明,该模型可以模拟刻画楼梯区域行人运动过程,同时验证了楼梯区域行人集散效率跟行人到达率与行人路径选择有关.

Study of pedestrian flow on stairs with a cellular transmission model

The aim of this study is to address the following issues: 1) revealing the typical behaviors and properties of pedestrian movement when going upstairs and downstairs; 2) constructing a pedestrian evacuation model to formulate the walking process of pedestrians in stair area; 3) verifying that the cell transmission model widely used in the two-dimensional walking space can also be applied to the three-dimensional staircase area. Firstly, an observation experiment is carried out to gain the pedestrian movement data in the process of going upstairs and downstairs. By collating the data, the relation between density and flow in the unidirectional process of going upstairs or going downstairs, and in the bi-directional process of going upstairs and downstairs, are drawn respectively. Then, by analyzing the fundamental diagrams, several characteristics of pedestrian movement in stair area are revealed. Based on these characteristics, an extended cell transmission model is proposed. In this model, a potential correction coefficient is introduced to change the route choice of pedestrians by using the influence of different directional pedestrians on the potential; a flow modification coefficient is introduced to describe the effect of physical parameters on the maximum flow at the boundary between two neighboring cells; and an offset coefficient is introduced to correct movement rules and strengthen the influence of preferential direction on pedestrian route choice. Further, simulations relied on the proposed model are conducted. By comparing the simulation results with the experimental data, the model is calibrated. Then the calibrated model is employed to formulate the pedestrian movement in stair area, and the sensitivity of the potential correction parameter is also discussed. The simulation results indicate that the proposed model can successfully reproduce the movement of pedestrians on stair. Moreover, the route-choice behaviors of pedestrians can be directed by varying the values of the potential correction coefficient, which can present important information about optimizing the evacuation process of pedestrians on stair, thereby reducing the risk of an accident, such as congesting and treading.