{"id":240168,"updated":"2025-01-19T08:03:42.537796+00:00","links":{},"created":"2025-01-19T01:44:12.400659+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240168","sets":["6164:6165:6640:11802"]},"path":["11802"],"owner":"44499","recid":"240168","title":["プローブデータを用いた一般道の渋滞パターンの分析手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-06-19"},"_buckets":{"deposit":"627c13b0-993c-428d-b7a5-8b52fb4e9d6d"},"_deposit":{"id":"240168","pid":{"type":"depid","value":"240168","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"プローブデータを用いた一般道の渋滞パターンの分析手法","author_link":["658528","658530","658527","658526","658529"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"プローブデータを用いた一般道の渋滞パターンの分析手法"},{"subitem_title":"Method for analyzing traffic congestion patterns on public roads using probe vehicle data","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2024-06-19","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":"長崎大学大学院  総合生産科学研究科"},{"subitem_text_value":"長崎大学 情報データ科学部"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"}]},"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/240168/files/IPSJ-DICOMO2024052.pdf","label":"IPSJ-DICOMO2024052.pdf"},"date":[{"dateType":"Available","dateValue":"2026-06-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2024052.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":"44"}],"accessrole":"open_date","version_id":"66ea97d8-9061-4bda-9e04-07d2c7848b3f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"矢嶋, 佳織"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"神山, 剛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"赤塚, 裕人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 一也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺田, 雅之"}],"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":"本論文では，一般道を対象にしたETC2.0のプローブデータを用いた交通状態の分析手法を提案する．本手法は，時系列クラスタリングによって，対象路線における日毎の渋滞発生パターンを導き，渋滞発生の場所や時間帯の特定を可能にするものである．長崎県の国道205号線を対象に，交通状態の分析を行った結果，平日の通勤ラッシュや休日の帰宅の時間帯など，場所や時間帯ごとの所要時間の傾向が類似した日同士を同一のクラスタとして効率的に導くことができた．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"400","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散，協調とモバイルシンポジウム2024論文集"}],"bibliographicPageStart":"395","bibliographicIssueDates":{"bibliographicIssueDate":"2024-06-19","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}