Pedestrian Detection for the Surtrac Adaptive Traffic System

Surtac, the real-time adaptive traffic signal control system, has been demonstrated to significantly improve traffic flow on multiple performance metrics, including reductions of 25% of travel time and 40% wait time for motor vehicles. The objective of this project is to bring this same intelligence to pedestrian traffic, which has, thus far, not been targeted by Surtrac deployments. Phase 1 of this two-year project will analyze pedestrian traffic at multiple Surtrac deployments. Phase 2 will focus on an intersection already equipped with Surtrac system in the Oakland / East Liberty region and will add additional sensing and processing capabilities to determine the presence of pedestrians waiting to cross the intersection. Phase 3 will focus on the expected Surtrac deployment in Pittsburgh’s downtown and will focus on pedestrian density as a more fine grained input for the Surtrac scheduler.

  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.


  • English


  • Status: Active
  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Carnegie Mellon University

    Pittsburgh, PA  United States 
  • Project Managers:

    Ehrlichman, Courtney

  • Start Date: 20160101
  • Expected Completion Date: 20170101
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01595755
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Files: UTC, RiP
  • Created Date: Apr 7 2016 9:27PM