(a) Front side (b) Lateral side (c) Back side Fig. 6 Attachment position of marker 3.3. RESULTS AND CONSIDERATIONS The particle trajectories on the avoidance simulation in each condition are shown in Fig. 7 for five seconds. Particle No. 1 is white and No. 2 is black. Next, the subject's walking tracks in the avoidance experiment are shown in Fig. 8. From Figs. 7 and 8, the particle trajectories of the simulation correspond well to the walking tracks of the experiment. Also, each figure plots positional coordinates for a fixed time. As seen from the figures, the plot intervals have no variability. Therefore, particles are understood to move with constant velocity in both the simulation and the experiment. The above result shows that we successfully constructed the DEM-base traffic model depicting the behavior characteristics in detail. Moreover, in the experiment, when the subject comes at about x =2 m after the experiment start, there is a tendency for the plot interval to narrow, and the walking speed decreases. This is because there was limited recognition range of the marker on the motion capture system, and the subject was directed to stop at x =2 m. On the other hand, it was set that the particles keep moving in the target direction in the simulation. However, it is thought that this difference doesn't greatly influence the result of avoiding the obstacle, because of after avoiding. x y 1.5m -1.5m -2m 2m x y -2m 2m 1.5m -1.5m x y -2m 2m 1.5m -1.5m (a) Condition No. 1 (b) Condition No. 2 (c) Condition No. 3 Fig. 7 Orbital distribution (Avoidance simulation) (a) Condition No. 1 (b) Condition No. 2 (c) Condition No. 3 Fig. 8 Orbital distribution (Avoidance experiment) 235
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