Algorithms for Estimating Mean Vehicle Speed Using Uncalibrated Traffic Management Cameras

Schoepflin, Todd Nelson; Dailey, Daniel J.; Washington (State). Dept. of Transportation. Research Office; Washington State Transportation Center

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Algorithms for Estimating Mean Vehicle Speed Using Uncalibrated Traffic Management Cameras

2003-10-01
By Schoepflin, Todd Nelson ; Dailey, Daniel J.

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English

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Details:

Creators:

Schoepflin, Todd Nelson ; Dailey, Daniel J.

Schoepflin, Todd Nelson ; Dailey, Daniel J. Less -
Corporate Creators:

Washington (State). Dept. of Transportation. Research Office ; Washington State Transportation Center

Washington (State). Dept. of Transportation. Research Office ; Washington State Transportation Center Less -
Corporate Contributors:

United States. Federal Highway Administration
Subject/TRT Terms:

[+]

Algorithms Calibration Cameras Closed Circuit Television Estimating Highways I73: Traffic Control Image Processing Kalman Filtering Operations And Traffic Management Speed Sensor Television Cameras Traffic Control Traffic Speed Traffic Surveillance Vehicle Length Vehicle Length Distribution Video Imaging Detectors
Publication/ Report Number:

WA-RD 575.1
Resource Type:

Tech Report
Geographical Coverage:

United States ; Washington

United States ; Washington Less -
TRIS Online Accession Number:

968589
Corporate Publisher:

Washington (State). Dept. of Transportation
Abstract:

This report documents the second project, in a series of three research projects funded by the Washington State Department of Transportation (WSDOT), that will enable already deployed, uncalibrated CCTV cameras to be used as traffic speed sensors. The principle traffic speed sensors currently deployed by WSDOT are inductance loops; however, in some locations it is impractical or too expensive to install loops. In addition, a large number of un-calibrated cameras are already in place and being used by the traffic management operators to qualitatively assess traffic both on the freeway and on arterials. These projects will leverage the existing cameras to provide a quantitative measurement of traffic speed similar to that which can be obtained using loops and suitable for use in the Traffic Management System (TMS) without installing loops in the roadway. The implementation of this research will culminate with software that creates an automated system compatible with the existing TMS. This system will leverage the existing camera investment to create a new set of speed sensors that increases the geographic extent of the TMS's quantitative surveillance capabilities. In the second phase, reported on here, roadway features are used to augment the camera calibration. This overcomes the occlusion problem, or apparent blending together of small vehicles as seen in the far field of the camera images, that existed in the first phase. Activity maps, fog lines, and vanishing points are a few of the additional features used, and the details of these algorithms are described in this report. These results have also been peer reviewed and published.
Format:

PDF
Funding:

Agreement T1803, Task 48
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:785eeed24c857cfa663f8daeee8b0261d97c7763927d16c09a44b3d649faedc8
Download URL:

https://rosap.ntl.bts.gov/view/dot/37852/dot_37852_DS1.pdf
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Algorithms for Estimating Mean Vehicle Speed Using Uncalibrated Traffic Management Cameras

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