Team New Perspective

Project Description and Goals
Design a high-speed trapezoidal image sensor and control system for continuous traffic monitoring at signalized intersection approaches

Project Sponsors
National Institute for Advanced Transportation Technology (NIATT) Tranlive Program, Dr. Suat Ay (University of Idaho), VSRG

Faculty Mentor
Dr. Touraj Asseffi (University of Idaho)

Student Mentor
Kyle Swenson

Jacob Grinestaff
, Mitch Bodmer, Francis Sceibert''

Background
None of the video detection systems currently in use in traffic signal system operations provide continuous traffic detection and monitoring needed for several advanced traffic control applications. Continuous monitoring of vehicle’s speed, location, and acceleration in the trapezoidal field of view (FOV) of the camera is done at the image sensor level intelligently without requiring complicated digital post processing of video streams and the high communication bandwidth associated with it. The proposed trapezoid image sensor IC will also reduce the overall cost and complexity of the system while providing intelligent and continuous incoming traffic information. These will open doors for several dynamic traffic signal control applications reducing vehicle emissions and fuel consumption due to unnecessary stopping.

Problem Statement
Modern traffic places much higher demands on monitoring and control devices than in the past. An intelligent image sensor and corresponding control system that is designed specifically for extracting “only” the dynamic properties of incoming traffic and the vehicles with high resolution, high speed, and embedded intelligence on sensor level is needed.