マルチエージェントモデルによる繁忙期における新幹線駅ホーム上の旅客流動シミュレーション

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2014/08/01

タイトル(英語): Multi-agent Model based Simulation of Passenger Flow on a Shinkansen Station Platform in the Peak Season

著者名: 上水流　友望（千葉工業大学大学院 情報科学専攻），富井　規雄（千葉工業大学 情報科学部 情報工学科）

著者名(英語): Tomomi Kamizuru (Graduate School of Information and Computer Science, Chiba Institute of Technology), Norio Tomii (Department of Computer Science, Faculty of Information and Computer Science, Chiba Institute of Technology)

キーワード: 鉄道，停車時分，シミュレーション，マルチエージェント　　railway，dwell time，simulation，multi-agent

要約(英語): During peak seasons, Shinkansen station platforms are considerably congested because many passengers stay in queues to board a train. It is essential to estimate effective countermeasures so that passengers can board and alight from trains smoothly and trains can depart without delays. In order to estimate the countermeasures in advance, we have developed a multi-agent simulator, in which not only a passenger but also the baggage is expressed as an agent. In this paper, we present the structure of the simulator and show the results of numerical analysis for several different types of passenger alignments and the influence of platform screens to the times of boarding and alighting.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.134 No.8 （2014）

本誌掲載ページ: 750-759 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/ieejias/134/8/134_750/_article/-char/ja/