Presentation 2015/2/23
Classifying the Mode of Transportation using Cell Tower Alignments
HIROKI ISHIZUKA, NAO KOBAYASHI, SHIGEKI MURAMATSU, CHIHIRO ONO,
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Abstract(in English) 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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Keyword(in English) Analysis of Human behaviors / GIS / Call Detail Records
Paper # Vol.2015-MBL-74 No.57,Vol.2015-UBI-45 No.57
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Committee MoNA
Conference Date 2015/2/23(1days)
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Registration To Mobile Network and Applications(MoNA)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classifying the Mode of Transportation using Cell Tower Alignments
Sub Title (in English)
Keyword(1) Analysis of Human behaviors
Keyword(2) GIS
Keyword(3) Call Detail Records
1st Author's Name HIROKI ISHIZUKA
1st Author's Affiliation KDDI R&D Laboratories., Inc.()
2nd Author's Name NAO KOBAYASHI
2nd Author's Affiliation KDDI R&D Laboratories., Inc.
3rd Author's Name SHIGEKI MURAMATSU
3rd Author's Affiliation KDDI R&D Laboratories., Inc.
4th Author's Name CHIHIRO ONO
4th Author's Affiliation KDDI R&D Laboratories., Inc.
Date 2015/2/23
Paper # Vol.2015-MBL-74 No.57,Vol.2015-UBI-45 No.57
Volume (vol) vol.114
Number (no) 479
Page pp.pp.-
#Pages 7
Date of Issue