{"created":"2023-06-19T10:30:11.040377+00:00","id":10385,"links":{},"metadata":{"_buckets":{"deposit":"15ffcfdb-381a-44da-8d5b-9bdddd209aad"},"_deposit":{"created_by":18,"id":"10385","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"10385"},"status":"published"},"_oai":{"id":"oai:muroran-it.repo.nii.ac.jp:00010385","sets":["216:316","216:352","46"]},"author_link":["39157","55018","21131","56168"],"item_79_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"138","bibliographicPageStart":"127","bibliographicVolumeNumber":"7","bibliographic_titles":[{"bibliographic_title":"IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING","bibliographic_titleLang":"en"}]}]},"item_79_description_23":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_79_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Pedelecs are an alternative of traditional share bikes by applying the battery-powered motor to assist pedaling and accordingly extend the riding coverage. The large scale deployment of pedelecs, however, requires a careful design of maintenance system to replace the batteries regularly that can be costly. This paper investigates the maintenance of a city-wide pedelec system by developing an offline solution in two steps. First, we develop an optimal and efficient hybrid prediction model which predicts the usage demand of pedelecs in every 48 h on a scale of millions of pedelecs. Our proposal predicts the future usage increment of pedelecs by combining a local predictor, a global predictor, and an inflection predictor, which captures both the short-term and long-term factors affecting the pedelec usage. Second, based on the developed predictor and results of big data analytics, an optimal path planning scheme for the replenishment of pedelec batteries is developed. As compared to other schemes, our scheme can save 40% of the maintenance cost. To verify our proposal, extensive real-data driven simulations are performed which show that the accuracy of the prediction process is high enough than each traditional method and our proposal solves the maintenance problem efficiently.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_79_link_17":{"attribute_name":"出版者版へのリンク","attribute_value_mlt":[{"subitem_link_text":"10.1109/TNSE.2019.2901833","subitem_link_url":"https://doi.org/10.1109/TNSE.2019.2901833"}]},"item_79_link_5":{"attribute_name":"室蘭工業大学研究者データベースへのリンク","attribute_value_mlt":[{"subitem_link_text":"董 冕雄（DONG Mianxiong）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html"},{"subitem_link_text":"太田 香（OTA Kaoru）","subitem_link_url":"http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html"}]},"item_79_publisher_11":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE COMPUTER SOC","subitem_publisher_language":"en"}]},"item_79_relation_18":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1109/TNSE.2019.2901833","subitem_relation_type_select":"DOI"}}]},"item_79_rights_19":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.","subitem_rights_language":"en"}]},"item_79_source_id_12":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2327-4697","subitem_source_identifier_type":"EISSN"}]},"item_79_subject_9":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_79_version_type_21":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"ZHANG, Chao Feng","creatorNameLang":"en"},{"creatorName":"チョウ, ジョウ ホウ","creatorNameLang":"ja"}],"familyNames":[{},{}],"givenNames":[{},{}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"DONG,  Mianxiong","creatorNameLang":"en"},{"creatorName":"トウ, メンユウ","creatorNameLang":"ja-Kana"},{"creatorName":"董, 冕雄","creatorNameLang":"ja"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"LUAN, Tom H.","creatorNameLang":"en"}],"familyNames":[{}],"givenNames":[{}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{}],"affiliationNames":[{},{}]}],"creatorNames":[{"creatorName":"OTA,  Kaoru","creatorNameLang":"en"},{"creatorName":"太田, 香","creatorNameLang":"ja"},{"creatorName":"オオタ, カオル","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-08"}],"displaytype":"detail","filename":"IEEETNSE_7_1_127_138.pdf","filesize":[{"value":"4.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IEEETNSE_7_1_127_138","objectType":"fulltext","url":"https://muroran-it.repo.nii.ac.jp/record/10385/files/IEEETNSE_7_1_127_138.pdf"},"version_id":"f8a2fc57-cdb7-4274-8c1d-96dedcfeabe6"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Intelligent transportation systems","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Big data analytics","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Artificial intelligence","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Battery Maintenance of Pedelec Sharing System: Big Data Based Usage Prediction and Replenishment Scheduling","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Battery Maintenance of Pedelec Sharing System: Big Data Based Usage Prediction and Replenishment Scheduling","subitem_title_language":"en"}]},"item_type_id":"79","owner":"18","path":["46","316","352"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2020-12-08"},"publish_date":"2020-12-08","publish_status":"0","recid":"10385","relation_version_is_last":true,"title":["Battery Maintenance of Pedelec Sharing System: Big Data Based Usage Prediction and Replenishment Scheduling"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2024-02-05T04:03:41.383380+00:00"}