人工知能学会第二種研究会資料
Online ISSN : 2436-5556
利用者均衡を満たす混雑予測を用いた最適人流制御
山田 広明神山 直之岩下 洋哲大輪 拓也大堀 耕太郎
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研究報告書・技術報告書 フリー

2019 年 2019 巻 BI-012 号 p. 01-

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In the theme park, restricting the order of wandering or the use of the attractions is greatly reducevisitor satisfaction. The problem of how to achieve overall system optimization such as congestionreduction where managers can not force people to do something is a unique problem on pedestrian flowcontrol. In recent years, many researchers have been optimized congestion using simulation optimizationmethods. However, the method they use is forces people to do something, indirect control method likeinformation distribution has not been to be used in. In this paper, we attempt to optimize congestion byusing "congestion forecasting" as one of indirect pedestrian control method. We propose a method to deriveoptimal information distribution policy by using congestion forecasting satisfying user equilibrium.

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