マルチエージェント交通流シミュレーションに基づく電気自動車の充電設備配置手法

抄録

In recent years, the introduction of electric vehicles has been desired from the viewpoint of the growing interest in environmental load. However, it is important to develop sufficient charging equipment to disseminate electric vehicles with shorter cruising distances than gasoline powered vehicles, and data-driven methods such as Voronoi division and k-means clustering have been proposed for the placement plan. Meanwhile, simulation-driven methods that can take account of the microscopic influence between vehicles still have been little. In this paper, we propose an efficient placement method based on multi-agent traffic simulation by introduction of sub node, ghost-EV and improvement of scoring. As a result of simulation in the center of Wakayama prefecture, it is shown that proposed method is effective in the real network and in unsteady traffic flow with changing traffic volume.