Optimal Probe Vehicle Sample Size Estimation: Experience of Cennavi

Probe vehicle data has been widely used to collect traffic conditions of the road network. Many Real Time Traffic Information Service (RTTIS) providers use Probe vehicle data as an important data source. It is easy to get from taxi fleet, logistics vehicles and other third part vehicle monitor centers. Probe vehicle data may come from different data source providers, an optimal probe vehicle sample size of a data source can greatly reduce the cost at an acceptable spatio-temporal coverage of the road network. This paper introduces CenNavi’s experience in determining optimal probe vehicle sample size of a data source in its RTTIS of China.

• Supplemental Notes:
  • Abstract reprinted with permission from Intelligent Transportation Society of America.
• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Deng, Chunbai
  • Jiang, Sheng
• Conference:
  • 19th ITS World Congress
  • Location: Vienna , Austria
  • Date: 2012-10-22 to 2012-10-26
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 7p
• Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

• TRT Terms: Driver information systems; Information systems; Loop detectors; Probe vehicles; Real time information; Traffic data; Traffic surveillance
• Geographic Terms: China
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01501871
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 23 2013 7:52AM