Estimating Vehicle Trajectories on a Motorway by Data Fusion of Probe and Detector Data: for the 20th ITS World Congress Tokyo 2013

In this study, the authors propose a data fusion technique to estimate trajectories of all running vehicles on an intercity motorway based on probe vehicle data and conventional traffic detector data. Although probe vehicle data are getting popular, their rich information on vehicle trajectories have not been fully utilized but mostly reduced travel time information have been used. The objective of this research is therefore to examine a data fusion framework to reconstruct vehicle trajectories by combining traffic data with conventional traffic detectors and probe vehicle data based on the kinematic wave theory and implements the solution by the variational theory proposed by Daganzo. The authors utilize trajectories and examine how to get the useful information for drivers, which is travel time.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 3177. Alternate title: Estimating Vehicle Trajectories on a Motorway by Data Fusion of Probe and Detector Data.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Kuwahara, Masao
  • Ohata, Takeshi
  • Takigawa, Tsubasa
  • Abe, Koichi
  • Watanabe, Satoshi
  • Warita, Hiroshi
  • Nakamura, Kiichiro
  • Imai, Takeshi
  • Tsuda, Hiroyuki
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 12p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Data collection; Data fusion; Probe vehicles; Sensors; Traffic data; Travel time; Vehicle detectors
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01537981
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Sep 24 2014 4:49PM