620 最適速度関数を用いた個別要素法歩行者モデルの構築

Abstract

Traffic jams and congestion are generated in various places like roads, festivals, disaster areas, etc. They cause mental stress and increase the incidence of traffic accidents. Thus, in designing environments in which people can move smoothly, traffic flow analysis is important. Currently, use of the micro model in pursuing individual particle behavior is common in traffic flow analysis. In this model, because the objects that become particles are capable of independent motion, the relation of action-reaction doesn't work between particles. Therefore, we constructed a micro-type pedestrian model in which particle behaviors depict a pedestrian's behavior characteristics in detail by the Distinct Element Method (DEM), and analyzed the traffic flow. In this study, to aim micro-type pedestrian model depicting the behavior characteristics in detail, model-enhanced DEM is constructed. The acceleration computation of the particle modeled in this model incorporate the Optimal Velocity (OV) model. After that the algorithm that can avoid even if a obstacle particle exists on the target direction was constructed and was incorporated in the 2D model. After that, the avoidance simulation, which takes into account the obstacle or other pedestrians, is done by using the 2D DEM-base traffic model. At the same time, an avoidance experiment similar to the simulations is done, and the effectiveness of the model is verified by comparing the results. As a result, the simulation showed similar behavior and velocity distribution to the experiment. Therefore, the effectiveness of the constructed traffic model could be confirmed.