To reveal the pedestrians movement characteristics from the microscopic perspective of pedestrian bipedal movement,this paper analyzes the movement mechanism of pedestrians'continuous alternating stepping behavior,establishes a single-file pedestrian flow model simulating stepping motion,and analyzes the nonlinear change process of pedestrian position in the stepping period.The pedestrian stepping process is categorized into a single support stage and a double support stage based on the relative position of the pedestrian's center of gravity and bipedal center.The position coordinates at any given moment in each stepping cycle are determined according to the wave-shaped pattern observed in the instantaneous velocity of pedestrian feet.Based on empirical data,the model considers the adjustment of pedestrians'step length and duration in response to headway to avoid trampling with pedestrians in front.The simulation results indicate that the proposed model effectively captures the micro-stepping characteristics of pedestrians and can replicate fundamental diagrams and space-time diagrams.In addition,this study calculates the stepping dynamic characteristics based on the wave-shaped pattern of pedestrian feet,revealing that pedestrians tend to adopt a low step length and frequency when navigating crowded spaces.Furthermore,it is observed that synchronization phenomena occur most frequently when the global density reaches 1.9 ped·m-1.The results indicate that the effective establishment of pedestrian stepping model can provide reference for the evaluation and prediction of pedestrian movement state.
万方数据
维普
