Massively Multiagent-based Simulation with Participatory Design

点击翻译按钮获取中文摘要

This research has two main objectives : The first objective is to extract human decision-making models depending on the situation. The second objective is to realize a simulation environment that can observe influences of personal decision-making in the city environment. We focus on urban traffic as the target problem. While traffic flow simulations using simple agents are popular in the traffic domain, it has been recognized that driving behavior simulations with sophisticated agents are also beneficial. We propose a method of constructing a simulation environment which can execute citywide traffic simulations taking personal decision-making into account. The proposed simulation platform can support execution of citywide traffic simulation with multiple agent models.