{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00204617","sets":["1164:4061:10116:10188"]},"path":["10188"],"owner":"44499","recid":"204617","title":["GPS位置履歴情報と鉄道の乗換検索履歴を用いた異常混雑事前予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-05-18"},"_buckets":{"deposit":"ec5a09fe-6abb-4905-9be7-a7133ba669b6"},"_deposit":{"id":"204617","pid":{"type":"depid","value":"204617","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"GPS位置履歴情報と鉄道の乗換検索履歴を用いた異常混雑事前予測","author_link":["507063","507064","507062"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"GPS位置履歴情報と鉄道の乗換検索履歴を用いた異常混雑事前予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"街","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2020-05-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学情報理工学院情報工学系"},{"subitem_text_value":"Yahoo! JAPAN研究所"},{"subitem_text_value":"東京工業大学情報理工学院情報工学系"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computer Science, School of Engineering, Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Yahoo! Japan Corporation","subitem_text_language":"en"},{"subitem_text_value":"Department of Computer Science, School of Engineering, Tokyo Institute of Technology","subitem_text_language":"en"}]},"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/204617/files/IPSJ-UBI20066004.pdf","label":"IPSJ-UBI20066004.pdf"},"date":[{"dateType":"Available","dateValue":"2022-05-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI20066004.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b803d934-dd20-44e7-8e3f-82969c2897d8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"安納, 爽響"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坪内, 孝太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"下坂, 正倫"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","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":"2188-8698","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"GPS 位置履歴情報を用いた都市における活動人口の予測は，都市特性の把握による災害対策や効率的な出店計画等に役立つ．これに加えて突発的な混雑等，日常には見られない異常な活動人口パターンを予測することは，人々の日常の生活における交通機関の選択から混雑による事故を未然に防ぐための人員配置など，様々な観点で重要な問題である．これまで提案された活動人口の予測手法では，定常的な活動人口の推移を精度よく予測することができる．一方で，突発的な混雑時の混雑度・活動人口の予測においては，精度や，予測可能な異常が最長で 1 時間後という時間的側面で課題が存在した．そこで本研究では，訪問者数を正確に反映する GPS 位置履歴とそれを用いた既存の活動人口予測手法に加えて，乗換検索履歴の持つユーザのスケジュール情報という特性を用い，活動人口の比で定義される混雑度での回帰と頑健性担保のためのオーバーサンプリングを行うことで，時間的制約に縛られない突発的な混雑にも対応可能な活動人口とその混雑度の予測手法を提案する．実際の乗換検索履歴と GPS 位置履歴を用いた大規模実験を行い，提案手法がラグビー W 杯 3 位決定戦が行われた味の素スタジアムでの異常混雑を 1 週間前から，既存手法よりも正確に捉えられることを示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2020-05-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"2020-UBI-66"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T20:08:41.649206+00:00","created":"2025-01-19T01:06:52.118512+00:00","id":204617}