Video Data Analytics for Safer and More Efficient Mobility

Identifying and tracking objects in video data frames has become significantly easier in recent years, thanks to advances in artificial intelligence and greater access to increased computing power. Some commercially available products allow transportation agencies to leverage new video data analysis capabilities to support traffic analysis, operations, and safety applications. However, such products often require the use of dedicated hardware which is typically costly. However, many transportation agencies own extensive networks of pan-zoom-tilt cameras, used mostly for traffic monitoring. The analysis of the traffic streams produced by such cameras can potentially yield valuable data sets for a number of planning and operation applications, and support analyses which are not possible using data from simpler sensors.


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  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    Department of Transportation

    Intelligent Transportation Systems Joint Program Office
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Bhat, Chandra

  • Performing Organizations:

    Data-Supported Transportation Operations and Planning Center

    University of Texas at Austin
    Austin, TX  United States  78701
  • Principal Investigators:

    Juri, Natalia

  • Start Date: 20180901
  • Expected Completion Date: 20200831
  • Actual Completion Date: 0
  • Source Data: 151

Subject/Index Terms

Filing Info

  • Accession Number: 01670266
  • Record Type: Research project
  • Source Agency: Data-Supported Transportation Operations and Planning Center
  • Contract Numbers: DTRT13-G-UTC58
  • Files: UTC, RIP
  • Created Date: May 23 2018 4:42PM