Vehicle Trajectory and Gap Estimation for Conflict Prediction

The research team proposes a system to identify and measure vehicle trajectories, speed, inter-vehicle gaps and using video feeds from arbitrary traffic surveillance cameras. The potential impact to transportation safety is the ability to detect crashes in real-time and capturing near crashes and their context. Real-time analysis allows for immediate notification, detecting traffic density and speeds. Alerting safety planners to near-miss crash events and related contextual information, could provide critical information for safety enhancement through appropriate infrastructure safety modifications.

Language

  • English

Project

  • Status: Active
  • Funding: $98551
  • 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:

    Hauptmann, Alex

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

Subject/Index Terms

Filing Info

  • Accession Number: 01738995
  • 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