Real-Time Traffic Analytics at Intersections

Central to a smart transportation system is access to real-time data especially at points of planned conflict such as intersections. Unfortunately, visual data is too expensive in bandwidth for remote analysis. The proposed research focuses on performing analysis at the edge and only transmitting compact analysis results. Algorithms will be developed to detect and track vehicles, pedestrians, and bicyclists to summarize counts, travel direction, and notable events such as near collisions. Summary results will be submitted to a website for a real-time look of the road environment.

Language

  • English

Project

  • Status: Active
  • Funding: $97867
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Center Program
    ,    
  • Managing Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Carnegie Mellon University

    ,    
  • Principal Investigators:

    Narasimhan, Srinivasa

  • Start Date: 20200701
  • Expected Completion Date: 20210630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01738997
  • Record Type: Research project
  • Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: May 11 2020 10:25AM