{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00200602","sets":["1164:3865:9692:9976"]},"path":["9976"],"owner":"44499","recid":"200602","title":["Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-11-13"},"_buckets":{"deposit":"da6c6f9c-292b-4175-829a-a8bc943d9b2d"},"_deposit":{"id":"200602","pid":{"type":"depid","value":"200602","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application","author_link":["488125","488129","488127","488124","488123","488126","488122","488128"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application"},{"subitem_title":"Anomaly Event Detection using Bus Management Information -Case Study of Anomaly Operation Status Detection and Its Application","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"WiP ","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2019-11-13","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Nagoya University"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University／Institute of Innovation for Future Society, Nagoya University"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University／Institute of Innovation for Future Society, Nagoya University"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University／Institute of Innovation for Future Society, Nagoya University／Location Information Service Research Agency"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University / Institute of Innovation for Future Society, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University / Institute of Innovation for Future Society, Nagoya University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, Nagoya University / Institute of Innovation for Future Society, Nagoya University / Location Information Service Research Agency","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/200602/files/IPSJ-MBL19093005.pdf","label":"IPSJ-MBL19093005.pdf"},"date":[{"dateType":"Available","dateValue":"2021-11-13"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL19093005.pdf","filesize":[{"value":"1.7 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":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"870ca481-240f-4208-bd90-024d04dcc298","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wei, Sun"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kei, Hiroi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuro, Yonezawa"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuo, Kawaguchi"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wei, Sun","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kei, Hiroi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuro, Yonezawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuo, Kawaguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11851388","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"At present, the anomaly detection based on GPS data of buses has become a hot spot in the field of intelligent transportation. The goal of anomaly detection aims to automatically detect the abnormal situation of the city, which is also a key step to develop the intelligence of traffic system. This research aims to propose the anomaly detection at three aspects: the definition, the method, and the practical use of the detection results. In this paper, we focus on the abnormality of traffic situations, which leads to anomaly operation status (bus bunching), caused by mutation of the number of the passenger or the traffic accident. We propose a method for detecting bus bunching. We define a situation that satisfy the three conditions as bus bunching. The analysis result shows that the data of April 2017 of the city Okazaki occurred 49 times and occurred at Kouseicho stop and Daijuji stop at 6p.m frequently. After analyzing the data of the bus bunching, we plan to develop a module to predict the bus bunching.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"At present, the anomaly detection based on GPS data of buses has become a hot spot in the field of intelligent transportation. The goal of anomaly detection aims to automatically detect the abnormal situation of the city, which is also a key step to develop the intelligence of traffic system. This research aims to propose the anomaly detection at three aspects: the definition, the method, and the practical use of the detection results. In this paper, we focus on the abnormality of traffic situations, which leads to anomaly operation status (bus bunching), caused by mutation of the number of the passenger or the traffic accident. We propose a method for detecting bus bunching. We define a situation that satisfy the three conditions as bus bunching. The analysis result shows that the data of April 2017 of the city Okazaki occurred 49 times and occurred at Kouseicho stop and Daijuji stop at 6p.m frequently. After analyzing the data of the bus bunching, we plan to develop a module to predict the bus bunching.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングとパーベイシブシステム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-11-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2019-MBL-93"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":200602,"updated":"2025-01-19T21:18:50.690100+00:00","links":{},"created":"2025-01-19T01:04:07.460742+00:00"}