Heterogeneous Sensor Data Fusion for Freeway Traffic Surveillance and Performance

Section-based traffic information is known to better reflect traffic dynamics and changes compared to the point traffic measurements. Furthermore, travel time, one of the section-related traffic measurements, plays a significant role in traffic operation and control and is directly available by tracing individual vehicles. Therefore, many studies have been conducted to obtain accurate travel time based on available infrastructure and traffic sensors. This paper demonstrates a new approach to fuse raw traffic data from heterogeneous sensors at different locations for vehicle tracking and expands the study scope to travel time estimation accuracy analysis. Results from H-TRAUSRF, a vehicle tracking system for Heterogeneous detector based TRAffic SURveillance and perFormance (H-TRASURF), give new insights in maximizing currently implemented detectors.

• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Park, Seri
  • Oh, Cheol
  • Ritchie, Stephen G
  • 0000-0001-7881-0415
• Conference:
  • 12th World Congress on Intelligent Transport Systems
  • Location: San Francisco California, United States
  • Date: 2005-11-6 to 2005-11-10
• Publication Date: 2005

Language

• English

Media Info

• Media Type: Print
• Features: CD-ROM; Figures; References;
• Pagination: 15p
• Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems

Subject/Index Terms

• TRT Terms: Control loops; Data fusion; Information systems; Infrastructure; Sensors; Surveillance; Tracking systems; Traffic congestion; Travel time; Vehicle detectors
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01015924
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 31 2006 9:56AM