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        <datestamp>2025-01-20T06:57:48Z</datestamp>
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          <dc:title>Train Route Detection with using Sensor Data and GIS</dc:title>
          <dc:title xml:lang="en">Train Route Detection with using Sensor Data and GIS</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>Masaki, Ono</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Masaki, Ono</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">位置情報と交通システム</jpcoar:subject>
          <datacite:description descriptionType="Other">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.</datacite:description>
          <datacite:description descriptionType="Other">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.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2016-08-17</datacite:date>
          <dc:language>eng</dc:language>
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          <jpcoar:sourceIdentifier identifierType="NCID">AA11851388</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>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）</jpcoar:sourceTitle>
          <jpcoar:volume>2016-MBL-80</jpcoar:volume>
          <jpcoar:issue>16</jpcoar:issue>
          <jpcoar:pageStart>1</jpcoar:pageStart>
          <jpcoar:pageEnd>6</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2018-08-17</datacite:date>
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