• DocumentCode
    3372503
  • Title

    Detection of Most Popular Routes and Effective Time Segments Using Trajectory Distributions

  • Author

    Ito, Kei ; Hung-Hsuan Huang ; Kawagoe, Kyoji

  • Author_Institution
    Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2013
  • fDate
    9-11 Dec. 2013
  • Firstpage
    530
  • Lastpage
    531
  • Abstract
    There have been some innovative research studies for detecting the Most Popular Route (MRP) using GPS devices in order to support tourists who travel in an unfamiliar area. The MPR is a route on which many moving objects move the most among the entire possible routes. Current MRP detection methods do not take into account the time of trajectory measurement, however, road conditions vary depending on a time zone. Therefore, the detected MRP may not be an appropriate route that was defined outside of the certain time zone. The aim of this study is to propose a new method to detect the MRP which is capable of considering a time zone of trajectory measurement. In addition to the new method, "Popularity Measure" is proposed in order to verify the suitability of the detected MRP. The detected MRP using the existing and proposed method are evaluated by compared from a viewpoint of this popularity measures.
  • Keywords
    Global Positioning System; data mining; travel industry; GPS mining; MPR; MRP detection methods; effective time segment detection; most popular route detection; popularity measure; time zone; tourists; trajectory distributions; trajectory measurement; Global Positioning System; Image edge detection; Materials requirements planning; Probability; Standards; Time measurement; Trajectory; GPS mining; time segment; time zone; trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia (ISM), 2013 IEEE International Symposium on
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-0-7695-5140-1
  • Type

    conf

  • DOI
    10.1109/ISM.2013.107
  • Filename
    6746859