抄録
This paper describes a development of the traffic simulator using multi-agent approach and its application to a real world problem. We newly implemented tram and pedestrian agents to the simulator. The goal is to develop a simulation system to be used for assessment of transportation policy such as introduction of LRT lines. Here each car, tram, or pedestrian is modeled as an intelligent agent, and traffic phenomena emerge from interactions among these agents. We applied our simulator to single intersection to evaluate its behavior quantitatively. The simulated results are consistent with the theoretical value. Then we applied the simulator to a city traffic problem for which citizens actually discuss the plan to extend tram route.
