Detecting transportation mode using dense smartphone GPS trajectories and Transformer models.

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Title: Detecting transportation mode using dense smartphone GPS trajectories and Transformer models.
Authors: Zhang, Yuandong1 (AUTHOR), Echchabi, Othmane2 (AUTHOR), Feng, Tianshu3 (AUTHOR), Zhang, Wenyi4 (AUTHOR), Liao, Hsuai-Kai4 (AUTHOR), Chang, Charles4 (AUTHOR) charles.c.chang@dukekunshan.edu.cn
Source: International Journal of Geographical Information Science. Mar2026, p1-38. 38p. 15 Illustrations.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 192363480
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Detecting transportation mode using dense smartphone GPS trajectories and Transformer models.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Geographical+Information+Science%22">International Journal of Geographical Information Science</searchLink>. Mar2026, p1-38. 38p. 15 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192363480
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/13658816.2026.2640213
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 38
        StartPage: 1
    Titles:
      – TitleFull: Detecting transportation mode using dense smartphone GPS trajectories and Transformer models.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zhang, Yuandong
      – PersonEntity:
          Name:
            NameFull: Echchabi, Othmane
      – PersonEntity:
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            NameFull: Feng, Tianshu
      – PersonEntity:
          Name:
            NameFull: Zhang, Wenyi
      – PersonEntity:
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            NameFull: Liao, Hsuai-Kai
      – PersonEntity:
          Name:
            NameFull: Chang, Charles
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      – BibEntity:
          Dates:
            – D: 17
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 13658816
          Titles:
            – TitleFull: International Journal of Geographical Information Science
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