都市課題の改善に向けたマルチエージェント・シミュレーションの活用

概要

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Multi-Agent Simulation (MAS) could be an efficient approach to consider social measures. However, in order to make the measures more practical and efficient, the simulation model must reflect regional characteristics in detail and its validity should be shown. In this paper, we introduce our work using MAS in the two fields: disaster prevention and transportation demand management (TDM), and show how our model is convincing and practical. For the example of disaster prevention, we introduce Tsunami evacuation simulation in Kamakura-City. In this work, we examined a hearing survey and a field survey to take account of the behavioral characteristic in that area in our simulation model. For the example of TDM, we develop a traffic behavior model considering the decision making process of drivers in a particular region. These factors make our simulation model more persuasive and realistic, and the simulation result is available to plan specific social measures. Moreover, MAS will be useful for consensus forming with residents and users for such social measures since the simulation result is quantitative and can be easily visualized.