Knowledge Discovery from Taxi Probe Information at Tokyo by Using Hadoop MapReduce

In Tokyo, some of taxis are equipped with sensors to record their real-time information (e.g., velocity, position, and condition). Such real-time information, which is called “Taxi Probe information”, holds enormous potential to improve our social life. For example, real-time velocity information of taxis enables us to estimate a traffic flow in the city. In the future, the data size of stored taxi probe information will be enormous to handle (we call “Traffic Big Data”). One of the solutions of the problem is “Hadoop” which is a distributed processing framework. In this paper, we apply the hadoop framework in order to find out “Taxi-Distribution”, “Speed-Distribution”, and “Origin-Destination Map” from taxi probe information. Moreover, we plot the results on the map by using “Google Maps API”.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 3014.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Mukai, Naoto
  • Conference:
  • Publication Date: 2013


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 10p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01538518
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Sep 12 2014 7:46AM