MASを用いた観光者への付与情報の違いによる混雑分散への影響分析

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2024/08/01

タイトル(英語): Analysis of the Impact on Congestion Dispersion by Difference in Information Given to Tourists Using Multi-Agent Simulation

著者名: 石井　友梨（早稲田大学），富樫　明日香（早稲田大学），蓮池　隆（早稲田大学）

著者名(英語): Yuri Ishii (Waseda University), Asuka Togashi (Waseda University), Takashi Hasuike (Waseda University)

キーワード: 混雑分散化，マルチエージェントシミュレーション，シナリオ分析　　decentralization of congestion，Multi-Agent Simulation，scenario analysis

要約(英語): While the spread of COVID-19 is coming to an end, Overtourism, which has been apparent in various tourist destinations since the 2010s, is once again becoming an important issue. In order to relieve congestion, some areas have introduced applications that allow visitors to check the congestion status of tourist attractions with their smartphones. On the other hand, not much research has been conducted on what kind of congestion information is effective for decentralizing the congestion at tourist attractions from the viewpoint of eliminating overtourism. In this study, we analyze how the waiting time and the degree of congestion at tourist spots change when agents are given several measures with different tourist information by reproducing tourist spots using Multi-Agent Simulation (MAS).

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.8 （2024） 特集Ⅰ：Smart Cityを支える高度な無線通信，センシング及び情報処理　特集Ⅱ：人と人とを繋ぐ情報・システム技術

本誌掲載ページ: 736-741 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/144/8/144_736/_article/-char/ja/