• Bernardo R. Pires, PI
  • Mehmet Kocamaz, Co-PI
  • Christopher Kaffine, Student
  • Jian Gong, Student

Executive Summary

Adaptive traffic lights have the potential to significantly facilitate car travel and reduce congestion. However, other road users, especially pedestrians, may suffer longer wait times if they are not taken into account by the adaptive algorithms. The objective of this project is to bring greater insight into the impact of such smart traffic light systems to the pedestrian flow at key Pittsburgh intersections. The project leverages systems and methods developed in previous T-SET projects to quickly collect relevant statistics to stakeholders in the City of Pittsburgh, Bike Pittsburgh organization, and the Surtrac team.


The primary goal of the the project was the deployment of the custom hardware for at a Pittsburgh intersection for the collection of a pedestrian wait-time dataset as well as the analysis of such dataset.


  • Consultation with stakeholders for selection of intersection to study
  • Data collection at selected intersection and compilation of representative dataset
  • Development of custom image processing software for tracking of pedestrian
  • Development of custom software for estimation of wait-times based on pedestrian tracking
  • Analysis of the collected dataset
  • Compilation of technical report detailing project findings