{"id":228531,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00228531","sets":["6164:6165:7006:11378"]},"path":["11378"],"owner":"44499","recid":"228531","title":["群衆シミュレーションにおける適切な群衆モデル選択のための環境分類手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-10-18"},"_buckets":{"deposit":"2b90f736-c2b5-4b67-bd08-0b16151c9180"},"_deposit":{"id":"228531","pid":{"type":"depid","value":"228531","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"群衆シミュレーションにおける適切な群衆モデル選択のための環境分類手法","author_link":["610070","610071"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"群衆シミュレーションにおける適切な群衆モデル選択のための環境分類手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"群衆シミュレーション，群衆モデル，環境分類","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2023-10-18","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京女子大学大学院理学研究科"},{"subitem_text_value":"東京女子大学大学院理学研究科"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/228531/files/IPSJ-DPSWS20230032.pdf","label":"IPSJ-DPSWS20230032.pdf"},"date":[{"dateType":"Available","dateValue":"2025-10-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DPSWS20230032.pdf","filesize":[{"value":"291.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"34"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"18a9c5da-9460-4a25-a41c-abd8fc570dd8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中澤, 咲"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 由花"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，人・ロボットが共存する環境で動作する自律移動型サービスロボットに対する需要が高まっている．一般に，サービスロボットのナビゲーション手法をシミュレーションする際には，群衆モデルが利用される．しかし，群衆の動きは混雑度・空間形状・人属性・建物の種類等によって様々であり，あらゆる環境に適用できる一つの群衆モデルは存在していない．この問題を解決するために，我々は，群衆の動きを特徴づける要因を明らかにすることで，シミュレーション対象となる空間を複数クラスに分類し，環境に適した群衆モデルを選択する手法の研究を進めている．本稿では，その初期検討として，歩行者の移動軌跡のみを考慮した特徴量により，空間の特徴を時間帯により分類することが可能であることを示す．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"209","bibliographic_titles":[{"bibliographic_title":"第31回マルチメディア通信と分散処理ワークショップ論文集"}],"bibliographicPageStart":"207","bibliographicIssueDates":{"bibliographicIssueDate":"2023-10-18","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T11:49:15.893492+00:00","created":"2025-01-19T01:27:40.446210+00:00","links":{}}