{"created":"2025-01-19T00:44:29.907808+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174281","sets":["1164:3865:8477:8856"]},"path":["8856"],"owner":"11","recid":"174281","title":["Train Route Detection with using Sensor Data and GIS"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-08-17"},"_buckets":{"deposit":"701783ae-f113-4ec1-9fe2-b713a3f9ca78"},"_deposit":{"id":"174281","pid":{"type":"depid","value":"174281","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Train Route Detection with using Sensor Data and GIS","author_link":["357004","357003"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Train Route Detection with using Sensor Data and GIS"},{"subitem_title":"Train Route Detection with using Sensor Data and GIS","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"位置情報と交通システム","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-08-17","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"IBM Research - Tokyo"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"IBM Research - Tokyo","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/174281/files/IPSJ-MBL16080016.pdf","label":"IPSJ-MBL16080016.pdf"},"date":[{"dateType":"Available","dateValue":"2018-08-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL16080016.pdf","filesize":[{"value":"1.1 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":"fa0fc634-540c-4e16-9115-655ac457ede9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masaki, Ono"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masaki, Ono","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":"Smart phones have many sensors (GPS/pedometer), so data can easily be obtained to estimate a user's context, which is an important factor for smart phone applications. In this paper, we present a method to detect past train routes (a sequence of stations) from GPS records using station location information. Although GPS sensors do not work well underground or in overcrowded areas, we solve this problem by thinking through all possible paths and weighting them using sensor records. To evaluate our method, we conducted an experiment with sensor data created by several people over more than two weeks and found that its accuracy exceeded the baseline accuracy.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Smart phones have many sensors (GPS/pedometer), so data can easily be obtained to estimate a user's context, which is an important factor for smart phone applications. In this paper, we present a method to detect past train routes (a sequence of stations) from GPS records using station location information. Although GPS sensors do not work well underground or in overcrowded areas, we solve this problem by thinking through all possible paths and weighting them using sensor records. To evaluate our method, we conducted an experiment with sensor data created by several people over more than two weeks and found that its accuracy exceeded the baseline accuracy.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","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":"2016-08-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"16","bibliographicVolumeNumber":"2016-MBL-80"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":174281,"updated":"2025-01-20T06:57:48.851090+00:00","links":{}}