• Carnegie Mellon University
    • Bernardo R. Pires, Principal Investigator
    • Dhruv Saksena, Student
    • Ganesh Kumar Nunnagoppula, Student
    • Courtney Ehrlichman, T-SET Project Manager
  • City of Pittsburgh
    • Kristin Saunders, Bicycle and Pedestrian Coordinator

Executive Summary

The goal of this project is to provide actionable data for government officials and advocates that promote bicycling and walking. Although the health and environmental benefits of a non-automobile commute are well known, it is still difficult to understand how to get more people to take up active transportation. Infrastructure can have a dramatic effect on cycling and waling adoption, but represents a significant outlay of government resources. Thus, concrete usage statistics are paramount for assessing and optimizing such spending. This project will create a vision-based cyclist and pedestrian counting system that will allow for automatic and human-assisted data collection and analysis. Unlike traditional non-vision counting methods, our system has the potential for much higher accuracy while providing valuable usage and demographic data that simply cannot be collected by other sensors.
BikePed Explainer Image

Assets: SketchUp users Axis Communications, J. Wallace, and TimmyTwister

Publications and Press Coverage

  • Mehmet Kemal Kocamaz, Jian Gong, Bernardo R. Pires, "Vision-based Counting of Pedestrians and Cyclists", IEEE Winter Conference on Applications of Computer Vision WACV'16, March 7-9, 2016, Lake Placid, NY, USA. pdf
  • Bruce Gerson, "City’s Counting on CMU - Study To Measure Bike Lane Usage in Pittsburgh", The Piper, November 17, 2015. link


The primary objective to achieve is the successful deployment at one location in the city of Pittsburgh. Cameras will target sidewalk and bikelane and initial deployment will only count pedestrians and bicycles.