講演名 | 2015/2/23 Classifying the Mode of Transportation using Cell Tower Alignments , |
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抄録(英) | Determining the mode of transportation of an individual is one of important elements of contextual information for understanding human behavior. In particular, we focus on distinguishing different types of motorized transport such as train, bus, and subway. Moreover, we also classify a specific name of line of the transport type which a user rode on. Our approach uses location histories of an individual from its Call Detail Records (CDRs) and GIS information of routes for public transportation published by the Ministry of Land, Infrastructure, Transport and Tourism of Japan. Instead of referring to GPS-enabled location histories, we resort to more energy efficient sensing resources, such like a series of cell tower signals from CDRs. As a key contribution of this work, we proposed an automated method to generate an alignment of cell towers for a specific transportation route using unsupervised machine learning techniques. By utilizing CDRs which have been stored for a running operation of mobile networks, we succeeded to accurately detect a mode of transportation without consuming extra energy for its purpose on a mobile phone. |
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キーワード(英) | Analysis of Human behaviors / GIS / Call Detail Records |
資料番号 | Vol.2015-MBL-74 No.57,Vol.2015-UBI-45 No.57 |
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研究会情報 | |
研究会 | MoNA |
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開催期間 | 2015/2/23(から1日開催) |
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申込み研究会 | Mobile Network and Applications(MoNA) |
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本文の言語 | ENG |
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タイトル(英) | Classifying the Mode of Transportation using Cell Tower Alignments |
サブタイトル(和) | |
キーワード(1)(和/英) | / Analysis of Human behaviors |
第 1 著者 氏名(和/英) | / HIROKI ISHIZUKA |
第 1 著者 所属(和/英) | KDDI R&D Laboratories., Inc. |
発表年月日 | 2015/2/23 |
資料番号 | Vol.2015-MBL-74 No.57,Vol.2015-UBI-45 No.57 |
巻番号(vol) | vol.114 |
号番号(no) | 479 |
ページ範囲 | pp.- |
ページ数 | 7 |
発行日 |