In this lecture, we describe our developing intelligent-multi-agent-based traffic and environment simulator, MATES. It is suitable to comprehensive and quantitative assessment of transportation policies since it can deal with the detailed interaction of various trip-makers such as private cars, buses, trams and pedestrians. Complex and realistic traffic phenomena are expressed as the sum of such local interactions. We have been appling the simulator to evaluate traffic, environmental and economic impacts of tram railway extension plan in Okayama City since 2004.
