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  1. 論文誌(ジャーナル)
  2. Vol.65
  3. No.6

Development of a Nowcast Crowd Simulation Framework

https://ipsj.ixsq.nii.ac.jp/records/234948
https://ipsj.ixsq.nii.ac.jp/records/234948
a48eddc8-1d39-475a-be50-61a7a79e1c08
名前 / ファイル ライセンス アクション
IPSJ-JNL6506002.pdf IPSJ-JNL6506002.pdf (3.9 MB)
 2026年6月15日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥0, IPSJ:学会員:¥0, 論文誌:会員:¥0, DLIB:会員:¥0
Item type Journal(1)
公開日 2024-06-15
タイトル
タイトル Development of a Nowcast Crowd Simulation Framework
タイトル
言語 en
タイトル Development of a Nowcast Crowd Simulation Framework
言語
言語 eng
キーワード
主題Scheme Other
主題 [特集:移動の価値を再創造する高度交通システムとパーベイシブシステム(招待論文)] crowd simulation, multi-agent simulation, real-time, nowcast
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
i-Transport Lab. Co., Ltd.
著者所属
i-Transport Lab. Co., Ltd.
著者所属
i-Transport Lab. Co., Ltd.
著者所属
i-Transport Lab. Co., Ltd.
著者所属
i-Transport Lab. Co., Ltd.
著者所属(英)
en
i-Transport Lab. Co., Ltd.
著者所属(英)
en
i-Transport Lab. Co., Ltd.
著者所属(英)
en
i-Transport Lab. Co., Ltd.
著者所属(英)
en
i-Transport Lab. Co., Ltd.
著者所属(英)
en
i-Transport Lab. Co., Ltd.
著者名 Hisatomo, Hanabusa

× Hisatomo, Hanabusa

Hisatomo, Hanabusa

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Tadashi, Komiya

× Tadashi, Komiya

Tadashi, Komiya

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Kyohei, Ichinose

× Kyohei, Ichinose

Kyohei, Ichinose

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Koji, Takahashi

× Koji, Takahashi

Koji, Takahashi

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Ryota, Horiguchi

× Ryota, Horiguchi

Ryota, Horiguchi

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著者名(英) Hisatomo, Hanabusa

× Hisatomo, Hanabusa

en Hisatomo, Hanabusa

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Tadashi, Komiya

× Tadashi, Komiya

en Tadashi, Komiya

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Kyohei, Ichinose

× Kyohei, Ichinose

en Kyohei, Ichinose

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Koji, Takahashi

× Koji, Takahashi

en Koji, Takahashi

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Ryota, Horiguchi

× Ryota, Horiguchi

en Ryota, Horiguchi

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論文抄録
内容記述タイプ Other
内容記述 This study aims to develop a nowcast crowd simulation framework using real-time observed data. The framework is a part of the nowcast simulation framework we suggest that can reproduce the present crowd flow of pedestrian space in transportation terminals or city blocks sequentially in real-time. This mechanism aims to understand the crowd situation and avoid the city's concentration on social resource use. The framework consists of the precast process to prepare the input data of the average crowd situation and the nowcast process to reproduce the current crowd situation. This paper is focused on the nowcast process. It suggests a method to understand pedestrian route and OD (Origin to Destination) patterns and to estimate OD demands as the input of the crowd simulation model. The applicability for practical use is confirmed by discussing the framework's requirements and the demonstration in the real field. Finally, the discussions of the nowcast, forecast, and backcast process in the city using the framework are shared as future work.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.498
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 This study aims to develop a nowcast crowd simulation framework using real-time observed data. The framework is a part of the nowcast simulation framework we suggest that can reproduce the present crowd flow of pedestrian space in transportation terminals or city blocks sequentially in real-time. This mechanism aims to understand the crowd situation and avoid the city's concentration on social resource use. The framework consists of the precast process to prepare the input data of the average crowd situation and the nowcast process to reproduce the current crowd situation. This paper is focused on the nowcast process. It suggests a method to understand pedestrian route and OD (Origin to Destination) patterns and to estimate OD demands as the input of the crowd simulation model. The applicability for practical use is confirmed by discussing the framework's requirements and the demonstration in the real field. Finally, the discussions of the nowcast, forecast, and backcast process in the city using the framework are shared as future work.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.498
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00116647
書誌情報 情報処理学会論文誌

巻 65, 号 6, 発行日 2024-06-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
公開者
言語 ja
出版者 情報処理学会
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