知的マルチエージェント交通流シミュレータMATESの開発第三報：多階層歩行者モデルの開発と歩車混合交通シミュレーション

抄録

  One of the solutions to traffic issues is to suppress the dependency of society to car traffic, to create a human-centered road space, and to construct new traffic systems that consider global environment as well as mobility-impaired people. In a new traffic system, existence of pedestrian becomes more and more important. However there are few examples of mixed traffic simulations of pedestrians and cars in which subjectivity of pedestrian is treated in the same way as cars. We have been developing a Multi-Agent based Traffic and Environment Simulator, MATES. In this research, we newly construct the simulation method in which coexistence of pedestrians and cars can be expressed. Especially, we newly propose the multilevel pedestrian model to achieve pedestrian's collective behaviors and their interaction with cars. In the model, pedestrian agents are grouped together according to the particle size of agents to interact, and the constructed group is modeled as a virtual agent. Agents recognize their surrounding circumstances and interact among others through the virtual agent. We implement the multilevel pedestrian model to MATES and verify its performance.