{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236014","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236014","title":["観光統計データを利用した交通事故発生確率の予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"4688acd4-ecfb-4129-9efe-578ac0d02df8"},"_deposit":{"id":"236014","pid":{"type":"depid","value":"236014","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"観光統計データを利用した交通事故発生確率の予測","author_link":["644991","644990","644989"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"観光統計データを利用した交通事故発生確率の予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神奈川大"},{"subitem_text_value":"神奈川大"},{"subitem_text_value":"神奈川大"}]},"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/236014/files/IPSJ-Z86-7Q-02.pdf","label":"IPSJ-Z86-7Q-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-7Q-02.pdf","filesize":[{"value":"274.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"fc6659a4-66c1-4aa8-ba53-561fb1040156","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井土, 雅耀"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"李, 嘉誠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"能登, 正人"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"安全・安心な社会構築において，交通事故の予測は極めて重要な課題である．現在では，事故多発地点を検出するAIなどが存在しており，交通事故を高精度で予測でき，交通事故の減少が期待される．また，自治体が提供する観光統計データを含む多岐にわたる構造化データ（道路，交通量，人口，土地，施設，天気，イベント情報）が充実しており，これらを利用することが可能となっている．本研究では，多様なデータを活用して，月単位での交通事故発生確率を予測するための機械学習モデルを構築した．我々のモデルは， 天気，イベント，観光統計データといった動的データを利用しているため，状況に応じた交通事故の予測が可能である．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"342","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"341","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236014,"updated":"2025-01-19T09:25:44.029794+00:00","links":{},"created":"2025-01-19T01:37:50.200064+00:00"}