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 PERSONNEL

PROJECT LEAD TEAM

Dingxin Wu

Dr. Yao-Jan Wu

Principle Investigator

Smart Transportation Lab Director

Dingxin Wu

Paul Burton

Project Manager

Tucson Department of Transportation TSOS

TEAM MEMBERS

Xiaofeng Li

Xiaofeng Li

Ph.D. Student

  • Lead Data Analysis and Processing Specialist 

Alex Weber

Alex Weber

ME Student

  • Lead Data Collection Coordinator and Video Data Expert 

Matthew Munden

Sal Licari

Senior Undergraduate

  • Data Analysis Support

Adrian Cottam

Adrian Cottam

ME Student

  • UA-STAR Website Design Lead and Data Collection Coordinator 

Matthew Munden

Matthew Munden

ME Student

  • Data Collection Coordinator and Processer 

ACKNOWLEDGMENTS

Christopher French - Assisted With Data Collection 

Roger Kestler - Assisted With Data Collection 

Diahn Swartz - Professional Advice 

Bob Hunt - Professional Advice