Smart Node: Intelligent Traffic Interpretation

The wide application of GPS navigation system on vehicles has increased the quality of the driving experience. The current GPS based navigation system, however, suffers from the limited real-time traffic updates, and therefore poses a need to cover more areas with traffic sensor infrastructure. In this paper, we propose a framework for intelligent traffic interpretation aiming to enhance the quality of vehicle probe data for navigation applications. In the proposed framework, traffic interpretation can be achieved by either a single smart camera or through the communication within a network of smart cameras mounted on vehicles. Each individual smart camera collects sensory data, which are further processed by different modules of the system to estimate the speed of the nearby vehicles on individual lanes. The sensory data that are collected include sequence of images from video camera, motion parameters from vehicle CAN bus, position information from GPS, and road information from digital map. The estimated speeds are then either used to infer the traffic status within the smart camera per se or shared among the network to achieve a better interpretation by aggregation. The system and the framework will be described in detail in this paper.

• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Hu, Nan
  • Aghajan, Hamid
  • Gao, Tianshi
  • Camhi, Jaime
  • Lee, Chu Hee
  • Rosario, Daniel
• Conference:
  • 15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting
  • Location: New York NY, United States
  • Date: 2008-11-16 to 2008-11-20
• Publication Date: 2008

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Figures; Photos; References; Tables;
• Pagination: 12p
• Monograph Title: ITS Connections: Saving Time. Saving Lives

Subject/Index Terms

• TRT Terms: Automatic vehicle detection and identification systems; Data collection; Digital cameras; Digital maps; Global Positioning System; Information retrieval; Intelligent transportation systems; Intelligent vehicles; Probe vehicles; Speed; Tracking systems; Traffic congestion; Traffic flow; Vehicle detectors
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01146722
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 22 2009 9:00AM