Self Calibrating Monocular Camera Measurement of Traffic Parameters

This proposed project will extend the work of previous projects that have developed algorithms and software to measure traffic speed under adverse conditions using un-calibrated cameras. The present implementation uses the Washington State Department of Transportation (WSDOT) closed circuit television (CCTV) cameras mounted along freeway segments and has an interface for automated camera calibration and traffic speed and speed variance measuring and recording. The calibration algorithm is implemented as an operator in a pipelined architecture using the Java Advanced Imaging package. The algorithm uses features found on the freeway, such as fog lines and lane markers, to calibrate the camera. Arterials have different features, such as turn arrows and stop bars, that can be used for calibration. This effort will develop algorithms that calibrates cameras based on common features found on arterials and will implement the algorithm as a Java operator so that it extends the capabilities of the software to arterials. The result will be a portable system that can function on both freeways and arterials with only limited infrastructure investment. The utility of this project is to leverage existing software to make traffic parameter measurements on arterials where there are no loops, and to calibrate traffic measurement and management devices using these measurements.

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• Record URL:
  https://rosap.ntl.bts.gov/view/dot/17447
• Supplemental Notes:
  • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  TransNow, Transportation Northwest

  University of Washington, Department of Civil Engineering
  129 More Hall, Box 352700
  Seattle, WA  United States  98195-2700

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  Office of the Secretary of Transportation

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Dailey, Daniel J
• Publication Date: 2009-12

Language

• English

Media Info

• Media Type: Web
• Edition: Final Research Report
• Features: Appendices; Figures; References;
• Pagination: 28p

Subject/Index Terms

• TRT Terms: Algorithms; Arterial highways; Calibration; Cameras; Closed circuit television; Freeways; Traffic speed
• Identifier Terms: Java (Computer program language)
• Subject Areas: Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01152764
• Record Type: Publication
• Report/Paper Numbers: TNW2009-16
• Contract Numbers: DTRT07-G-0010 (Grant)
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Mar 19 2010 7:28AM