{"created":"2025-11-26T01:58:19.093372+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02005986","sets":["6164:6165:6244:1764117461240"]},"path":["1764117461240"],"owner":"80578","recid":"2005986","title":["V2Iによる先読み情報を用いたハイブリッド信号制御手法の検討と評価"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-12-04"},"_buckets":{"deposit":"873280b1-0188-445d-be7b-382fa467fa7b"},"_deposit":{"id":"2005986","pid":{"type":"depid","value":"2005986","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"V2Iによる先読み情報を用いたハイブリッド信号制御手法の検討と評価","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"V2Iによる先読み情報を用いたハイブリッド信号制御手法の検討と評価","subitem_title_language":"ja"},{"subitem_title":"Hybrid Traffic Signal Control Leveraging V2I-Based Predictive Information","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"IoT技術","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2025-12-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"control_number":"2005986","item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"広島大学大学院先進理工系科学研究科"},{"subitem_text_value":"広島大学情報メディア教育研究センター"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Advanced Science and Engineering, Hiroshima University","subitem_text_language":"en"},{"subitem_text_value":"Information Media Center, Hiroshima University","subitem_text_language":"en"}]},"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/2005986/files/IPSJ-IOTS2025008.pdf","label":"IPSJ-IOTS2025008.pdf"},"date":[{"dateType":"Available","dateValue":"2027-12-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IOTS2025008.pdf","filesize":[{"value":"5.3 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":"43"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8cd266cc-5b31-43ea-82e5-46ee5359bcdd","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"髙橋,孝太朗"}]},{"creatorNames":[{"creatorName":"西村,浩二"}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kotaro Takahashi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Kouji Nishimura","creatorNameLang":"en"}]}]},"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":"通信機能を有するコネクテッドカーの普及に伴い，車両がさまざまな対象と情報を交換できる通信技術，V2X（Vehicle to Everything）が注目されている．これまでにV2Xを活用した多くの交通課題解決のユースケースが提案されているが，交通渋滞の緩和に焦点を当てたものは少ない．そこで，本研究では車両とインフラ間の通信技術，V2I（Vehicle to Infrastructure）を活用した信号制御手法を提案し，渋滞緩和を目指す．本手法は，交差点に接近する車両の情報を事前に取得し，次の信号切替までに各車両がどの方向に進むかを予測する点に特徴がある．この予測情報を従来の信号制御に反映させることで，交通流の改善を図る．提案手法の評価には，実際の交通流を中央値2%の相対誤差で再現した交通シミュレーションを用いた．比較実験の結果，提案手法では従来手法と比べてより均一で円滑な交通流が形成されることが確認された．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"With the increasing adoption of connected vehicles equipped with communication capabilities, Vehicle-to-Everything (V2X) technology, which enables vehicles to exchange information with various entities, has attracted significant attention. Although numerous use cases leveraging V2X for solving traffic-related issues have been proposed, relatively few studies focus specifically on traffic congestion mitigation. In this study, we propose a traffic signal control method utilizing Vehicle-to-Infrastructure (V2I) communication to alleviate congestion. The proposed method is characterized by its ability to acquire information on vehicles approaching an intersection in advance and predict their intended directions before the next signal change. By incorporating this predictive information into conventional signal control, overall traffic flow can be improved. The method was evaluated using traffic simulations that reproduce actual traffic flow with a median relative error of 2%. Comparative experiments confirmed that the proposed method produces smoother and more uniform traffic flow compared to conventional approaches.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"64","bibliographic_titles":[{"bibliographic_title":"インターネットと運用技術シンポジウム論文集"}],"bibliographicPageStart":"57","bibliographicIssueDates":{"bibliographicIssueDate":"2025-12-04","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2025"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"id":2005986,"updated":"2025-11-26T07:39:02.072776+00:00","links":{}}