Abstract
Many complex aspects can be observed in urban transport planning. The study aims at showing the application of the artificial society approach to the problem of urban transport planning. The specific distribution can be observed as an emergence through the interaction of agents. The agents are defined to move in the society according to the action rules depending on the acquired information and knowledge of experience. The decision of each agent for day to day travel is formulated in the agent model corresponding to the urban transport planning. Each agent should have different preference to
the alternatives of trips. On the other hand, traffic flow on urban network should be estimated summarizing the individual behaviours of commuter in the integrated model. Therefore, the simulator of artificial society consists of two interactive procedures of travel behaviour estimation and agent daily decision. Furthermore, the daily transport condition can be monitored by the illustration of GIS software. It is helpful to discuss the effective transport planning in artificial society.
