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Study on estimation methods for travel data using GPS and context data

Research Project

Project/Area Number 25630215
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Civil engineering project/Traffic engineering
Research InstitutionNagoya University

Principal Investigator

MORIKAWA Takayuki  名古屋大学, 環境学研究科, 教授 (30166392)

Co-Investigator(Kenkyū-buntansha) YAMAMOTO Toshiyuki  名古屋大学, エコトピア科学研究所, 教授 (80273465)
MIWA Tomio  名古屋大学, エコトピア科学研究所, 准教授 (60422763)
USUI Tomotaka  名古屋大学, 経済学研究科, 特任准教授 (20549448)
Co-Investigator(Renkei-kenkyūsha) SATO Hitomi  名古屋大学, 未来社会創造機構, 特任講師 (00509193)
Project Period (FY) 2013-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywordsスマートフォン / 位置情報 / 活動推定 / 交通調査 / GPSデータ / 活動・行動データ / 交通行動分析
Outline of Final Research Achievements

Traditional Personal Trip (PT) survey has problems about low accuracy and disability of continuity because of significant high cost and low respondent rate. In order to avoid these disadvantages, GPS data collected by smart phone were utilized in this study to infer trip purpose data. Based on the method of Decision Tree and Random Forest, model for inferring trip purpose was developed and some analyses proceeded subsequently. It is found that the accuracy of trip purpose inference calculated by the model developed in this study is more than 70%. Furthermore, it can be concluded that 1 month continuous GPS data is minimum requirement to get the satisfied results. Also, the results show that the accuracy of trip purpose reference can be improved by increasing the number of respondents.

Report

(3 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • Research Products

    (6 results)

All 2015 2014

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 1 results,  Acknowledgement Compliant: 1 results) Presentation (4 results)

  • [Journal Article] Inferring Trip Purpose from Mobile Phone GPS Data with Support Vector Machines2015

    • Author(s)
      Gong,L., Yamamoto, T., Morikawa, T.
    • Journal Title

      Journal of Highway and Transportation Research and Development

      Volume: 印刷中

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Derive Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies2014

    • Author(s)
      Gong, L., Morikawa, T., Yamamoto, T., SATO, H.
    • Journal Title

      Procedia - Social and Behavioral Sciences

      Volume: 138 Pages: 557-565

    • DOI

      10.1016/j.sbspro.2014.07.239

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed
  • [Presentation] Inferring Trip Purpose from Mobile Phone GPS Data with Support Vector Machines2015

    • Author(s)
      Gong,L., Yamamoto, T., Morikawa, T.
    • Organizer
      15th ITS asia pacific forum 2015
    • Place of Presentation
      中国,南京
    • Year and Date
      2015-04-27 – 2015-04-29
    • Related Report
      2014 Annual Research Report
  • [Presentation] GPSやコンテクストデータを活用した行動目的の推定手法に関する研究2014

    • Author(s)
      塚本健太郎,佐藤仁美,森川高行
    • Organizer
      第50回土木計画学研究発表会
    • Place of Presentation
      鳥取大学
    • Year and Date
      2014-11-01 – 2014-11-03
    • Related Report
      2014 Annual Research Report
  • [Presentation] Stop Point Identification Using Constrained DBSCAN (Density-Based Spatial Clustering of Applications with Noise) Algorithm2014

    • Author(s)
      Gong,L., Sato, H., Morikawa, T. and Miwa, T.
    • Organizer
      第50回土木計画学研究発表会
    • Place of Presentation
      鳥取大学
    • Year and Date
      2014-11-01 – 2014-11-03
    • Related Report
      2014 Annual Research Report
  • [Presentation] Derive Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies2014

    • Author(s)
      Gong, L., Morikawa, T., Yamamoto, T., SATO, H.
    • Organizer
      the 9th International Conference on Traffic and Transportation Studies
    • Place of Presentation
      中国
    • Related Report
      2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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