00824656

Monograph

This Intelligent Transportation Systems (ITS) Innovations Deserving Exploratory Analysis (IDEA) project developed and evaluated a technique for estimating vehicle queue length at signaled street sections using a traffic flow visualization and control (TFVC) system, a video-camera based wide-area traffic surveillance and detection system, developed earlier by the authors. The current project involved refining queue length estimation algorithms and performance parameters. Codes for queue length determination were developed and the algorithm's performance was enhanced by using the Intel Image Processing Library. The sensor mechanical design was extended for use with a dual processor motherboard using Pentium chips with MMX technology allowing faster image processing. In addition, web-based streaming video capability was developed to allow a greater video frame rate for traffic surveillance. Capability to provide video over the phone line was also developed. The system was deployed in the city of Colorado Springs. Test results showed satisfactory performance of the queue length algorithm under good conditions. However, issues with calibration, noise filtering threshold, and tracking still need satisfactory resolution.

This ITS-IDEA project was conducted by ITT Industries, Colorado Springs, Colorado.

ITS-IDEA Project 71,
Final Report

English

24 p.

2001-12

ITS-IDEA Program Project Final Report

9904-9908

Figures; Photos

Algorithms; Calibration; Estimating; Field tests; Image processing; Intelligent transportation systems; Interference; Length; Performance; Real time control; Sensors; Technological innovations; Traffic flow; Traffic queuing; Traffic signal control systems; Traffic surveillance; Video cameras; Visualization

Colorado Springs (Colorado)

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB

Feb 26 2002 12:00AM