Optimizing Traffic Signals Using Multi-Source Data (Phases 1 - 8)

Co-PI: Xiaofeng Li, Ph.D. (Phases 5 & 6)
PM: Francisco Leyva

The goal of this multi-phase project is to optimize traffic signals in the City of Tucson to improve mobility, safety, and efficiency. Multi-source data was automatically collected or estimated city wide, and a website (Tucson.UA-Star.org) was developed to implement and analyze the big traffic data. The data is used to provide support for signal re-timing and safety studies.