Optimizing Traffic Signals Using Multi-Source Data
This project is a collaboration between the City of Tucson and the Smart Transportation Lab to analyze and re-time signals along two major corridors in Tucson. The project has evolved to include a study on obtaining delay from video sensors, a pedestrian near miss study, and the development of the UA-STAR website that calculates and displays video sensor data from intersections in Tucson.
PROJECT LEAD TEAM
Christopher French - Assisted With Data Collection
Roger Kestler - Assisted With Data Collection
Diahn Swartz - Professional Advice
Bob Hunt - Professional Advice