A Dynamic Simulation of Crowd Flow in Taipei Railway and MRT Station by Multi-Agent Simulation System

作者: Hwa Kang , Kuochung Wen

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摘要: Crowded together in Taipei Station, City, there are a number of flow transport behaviors, such as high-speed rail, rail and MRT transport. Timing location require an established pattern order for to without collision. Is enough space improvement the form moving lines increase people? How can we reduce possibility disaster? These important issues urban environment. A multi-agent system (MAS) is computerized composed multiple interacting intelligent agents within MAS be used solve problems that difficult or impossible individual agent monolithic solve. In this study, establishment architecture assessment dynamic simulation method combined time patterns behavior analysis act path performance inspection certificate one effective tool.

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