Applying AI to data sources to improve driver-pedestrian interactions at intersections

This project aims to understand how we can link and harness new data sources along with machine-learning based optimization techniques to improve driver-pedestrian interactions at intersections. With a strong emphasis on safe mobility, this study will address this critical issue in a real-life context with data links from and actuation feedback to eight monitored intersections in the Chattanooga Shallowford road corridor between the Lee Highway and Gunbarrel Road intersections. The study reflects strong collaborations between UTK, UNC, ORNL, and the City of Chattanooga, TN. This project will contribute by incorporating safety into optimization of traffic signals, collect and link data from traffic signals (cameras) and analyze behaviors of pedestrians and drivers at intersections, and provides an opportunity for students to engage in multiple aspects of safety analysis including data linking and new AI techniques. The impact of this project can be substantial in terms of enhancing safety and efficiency of intersections. Working closely with Chattanooga and ORNL, the project team will impact the safety as well as performance of traffic signals in a testbed corridor through: 1) data linking, 2) pedestrian detection and 3) optimization.


  • English


  • Status: Active
  • Funding: $67500
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Collaborative Sciences Center for Road Safety

    University of North Carolina, Chapel Hill
    Chapel Hill, NC  United States  27514
  • Project Managers:

    Sandt, Laura

  • Performing Organizations:

    University of Tennessee, Knoxville

    Knoxville, TN  United States 

    University of North Carolina at Chapel Hill

    UNC-CH New East Building
    Campus Box #3140
    Chapel Hill, North Carolina  United States  27599-3140

    Oak Ridge National Laboratory

    545 Oak Ridge Turnpike
    Pittsburgh, TN  United States  37830
  • Principal Investigators:

    Chakraborty, Subhadeep

    Khattak, Asad

    Nordback, Krista

    Sanyal, Jibonananda

  • Start Date: 20210501
  • Expected Completion Date: 20230831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01771372
  • Record Type: Research project
  • Source Agency: Collaborative Sciences Center for Road Safety
  • Contract Numbers: 69A3551747113
  • Files: UTC, RIP
  • Created Date: May 7 2021 10:28AM