{"created":"2025-01-19T01:15:28.263571+00:00","updated":"2025-01-19T16:31:29.505368+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214666","sets":["6504:10735:10805"]},"path":["10805"],"owner":"44499","recid":"214666","title":["ドローン撮影画像を用いた渋滞予測方法のシミュレーションによる精度検証"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"50fec6f9-8ebb-483a-ba21-81a12aff58e9"},"_deposit":{"id":"214666","pid":{"type":"depid","value":"214666","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ドローン撮影画像を用いた渋滞予測方法のシミュレーションによる精度検証","author_link":["551859","551857","551854","551858","551855","551856"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ドローン撮影画像を用いた渋滞予測方法のシミュレーションによる精度検証"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"東大"},{"subitem_text_value":"JAXA"},{"subitem_text_value":"JAXA"},{"subitem_text_value":"東大"},{"subitem_text_value":"鳥取大"},{"subitem_text_value":"東大"}]},"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/214666/files/IPSJ-Z83-2B-01.pdf","label":"IPSJ-Z83-2B-01.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-2B-01.pdf","filesize":[{"value":"548.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"75d12c8b-ef74-4f2a-a10b-d76df6133f95","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"柳澤, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"久保, 大輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木村, 紋子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"李, 思宇"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西, 遼佑"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西成, 活裕"}],"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":"近年、小型の無人航空機（ドローン）の発展は目覚ましく、よりよい社会を実現するための様々な応用方法が議論されている。本講演では、ドローンが撮影した画像による高速道路の渋滞予測方法を提案する。想定するドローンは輸送を主目的とするものである。従って、得られる画像は必ずしも渋滞予測に適したものではない。そこで本研究では、そのような輸送経路上で副次的に撮影された画像の量と渋滞予測の精度の関係を明らかにした。さらに2030年における輸送ドローン飛行状況のシミュレーションデータを用いて、渋滞予測精度を算出した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"114","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"113","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214666,"links":{}}