Differentiating Real Time Traffic Information from Traffic Information Based Mainly on Historical Patterns

Traffic information based on floating car data is becoming a major source to Government Agencies. Some of these sources are based on aggregating global positioning system (GPS) data and use historical patterns and prediction algorithms to fill in the gaps in the real time data. Data quantities from these systems are not enough to provide samples for all road sections every reporting period and most of road sections do not generate live samples most of the time. Road Agencies and Municipalities which are looking for real time data are sometimes compromising on such data based on historical patterns because they don’t have the knowledge to differentiate between such systems. This paper summarizes the challenges and possible solutions to this problem, which were identified by Cellint Traffic Solutions ("Cellint") based on its experience in validation procedures of Departments of Transportation and Road Agencies in North America and Europe.

  • Availability:
  • Supplemental Notes:
    • Abstract used with permission of ITS Japan. Paper No. 2071. Alternate Title: Methods to Differentiate between Traffic Information Based on Real Time Samples to Traffic Information Based Mainly on Historical Patterns.
  • Corporate Authors:

    ITS Japan

    Tokyo,   Japan 
  • Authors:
    • Avni, Ofer
  • Conference:
  • Publication Date: 2013


  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Maps;
  • Pagination: 6p
  • Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01536135
  • Record Type: Publication
  • ISBN: 9784990493981
  • Files: TRIS
  • Created Date: Aug 26 2014 3:16PM