{"id":88673,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00088673","sets":["581:7002:7003"]},"path":["7003"],"owner":"13","recid":"88673","title":["MC-TES: An Efficient Mobile Phone Based Context-Aware Traffic State Estimation Framework"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-01-15"},"_buckets":{"deposit":"80fbc476-c01c-4770-bbcb-79a0b9f003c9"},"_deposit":{"id":"88673","pid":{"type":"depid","value":"88673","revision_id":0},"owners":[13],"status":"published","created_by":13},"item_title":"MC-TES: An Efficient Mobile Phone Based Context-Aware Traffic State Estimation Framework","author_link":["358206","358208","358207","358210","358205","358209"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MC-TES: An Efficient Mobile Phone Based Context-Aware Traffic State Estimation Framework"},{"subitem_title":"MC-TES: An Efficient Mobile Phone Based Context-Aware Traffic State Estimation Framework","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：情報通信社会の新潮流をつくるモバイル通信と高度交通システム] mobile phone based ITS, traffic state estimation, mobile context-aware, penetration rate, inference circuit","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2013-01-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Shibaura Institute of Technology"},{"subitem_text_value":"Shibaura Institute of Technology"},{"subitem_text_value":"Shibaura Institute of Technology"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Shibaura Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/88673/files/IPSJ-JNL5401015.pdf","label":"IPSJ-JNL5401015"},"date":[{"dateType":"Available","dateValue":"2015-01-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5401015.pdf","filesize":[{"value":"1.3 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"cb9d716c-da1a-46ba-8caf-ec6ed6ca3c25","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"QuangTranMinh"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"MuhammadAriffBaharudin"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Eiji, Kamioka"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Quang, TranMinh","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Muhammad, AriffBaharudin","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Eiji, Kamioka","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"This paper proposes a notable mobile phone based context-aware traffic state estimation (MC-TES) framework whereby the essential issues of low and uncertain penetration rate are thoroughly resolved. A novel intelligent context-aware velocity-density inference circuit (ICIC) and a practical artificial neural network (ANN) based prediction approach are proposed. The ICIC model not only improves the traffic state estimation effectiveness but also minimizes the critical penetration rate required in the mobile phone based traffic state estimation (M-TES). The ANN-based prediction approach is considered as a complement of the ICIC in cases of an unacceptably low or unknown penetration rate. In addition, the difficulty in selecting the “right” traffic state estimation model, namely among the ICIC and the ANN, under the condition of an uncertain penetration rate is resolved. The experimental evaluations confirm the effectiveness, the feasibility as well as the robustness of the proposed approaches. As a result, this research contributes to accelerating the realization of mobile phone-based intelligent transportation systems (M-ITSs) or of the M-TES systems in specific.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.21(2013) No.1 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.21.76\n------------------------------","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper proposes a notable mobile phone based context-aware traffic state estimation (MC-TES) framework whereby the essential issues of low and uncertain penetration rate are thoroughly resolved. A novel intelligent context-aware velocity-density inference circuit (ICIC) and a practical artificial neural network (ANN) based prediction approach are proposed. The ICIC model not only improves the traffic state estimation effectiveness but also minimizes the critical penetration rate required in the mobile phone based traffic state estimation (M-TES). The ANN-based prediction approach is considered as a complement of the ICIC in cases of an unacceptably low or unknown penetration rate. In addition, the difficulty in selecting the “right” traffic state estimation model, namely among the ICIC and the ANN, under the condition of an uncertain penetration rate is resolved. The experimental evaluations confirm the effectiveness, the feasibility as well as the robustness of the proposed approaches. As a result, this research contributes to accelerating the realization of mobile phone-based intelligent transportation systems (M-ITSs) or of the M-TES systems in specific.\n\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.21(2013) No.1 (online)\nDOI　http://dx.doi.org/10.2197/ipsjjip.21.76\n------------------------------","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2013-01-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"54"}]},"relation_version_is_last":true,"weko_creator_id":"13"},"updated":"2025-01-20T06:49:28.329410+00:00","created":"2025-01-18T23:38:41.115389+00:00","links":{}}