{"created":"2025-01-19T01:28:19.031951+00:00","updated":"2025-01-19T11:36:09.252519+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229204","sets":["1164:6757:11095:11361"]},"path":["11361"],"owner":"44499","recid":"229204","title":["歩行者の実測データとシミュレーションを用いた大規模人流データセットの構築"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-09"},"_buckets":{"deposit":"26b0b9e1-5147-4f3e-90ad-c25bb8daea28"},"_deposit":{"id":"229204","pid":{"type":"depid","value":"229204","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"歩行者の実測データとシミュレーションを用いた大規模人流データセットの構築","author_link":["615969","615968"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"歩行者の実測データとシミュレーションを用いた大規模人流データセットの構築"}]},"item_type_id":"4","publish_date":"2023-11-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"筑波大学大学院理工情報生命学術院システム情報工学研究群／産業技術総合研究所人工知能研究センター"},{"subitem_text_value":"産業技術総合研究所人工知能研究センター／筑波大学大学院理工情報生命学術院システム情報工学研究群"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/229204/files/IPSJ-DCC23035037.pdf","label":"IPSJ-DCC23035037.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DCC23035037.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"50"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"2b1f0e64-4be4-4a8b-beb8-517dba61e368","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"武田, 芽依"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大西, 正輝"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628338","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8868","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"特定のイベントや施設での避難誘導は，ゲートや非常口などを制御することで安全かつ迅速な避難を実現できる．しかし都市などの広域避難の場合，都市全体の複雑性により最適な制御方法の探索が困難である．我々は，様々なシナリオによるシミュレーション結果を元に，歩行者の動きの変化と都市の特性を理解するためのデータセットの構築を検討している．本データセットをエージェントシミュレーションや機械学習，人工知能など様々な研究において活用するには，どのような要件が必要であるかを議論する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告デジタルコンテンツクリエーション（DCC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-11-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"37","bibliographicVolumeNumber":"2023-DCC-35"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229204,"links":{}}