Video Data Analytics for Safer and More Efficient Mobility

In this project, the authors refined an approach to using data collected by the City of Austin’s traffic monitoring cameras to automatically identify pedestrian activities on roadways. Their approach automatically analyzes the content of video data gathered by existing traffic cameras using a semi-automated processing pipeline powered by state-of-art computing hardware and algorithms. The method also extracts a background image at analyzed locations, which is used to visualize locations where pedestrians are present and display their trajectories. The authors illustrate the use of a scalable tool for the automated analysis of data collected from monocular traffic cameras that can allow agencies to leverage existing infrastructure in the analysis and mitigation of pedestrian safety concerns with two use cases. This work focuses on the following two major goals: (1) evaluation of pedestrian activities before and after a pedestrian hybrid beacon (PHB) device installation; and (2) assessment of pedestrian activities at new locations. The specific activities can be further grouped into four tasks: Task 1: Pedestrian crossing detection before and after PHB installation at Anderson location; Task 2: Recording and analysis of pedestrian crossing event at Rundberg location; Task 3: Recording and analysis of pedestrian crossing at Payton location; and, Task 4: Bus stop usage inferences at Payton location. In this report, the authors document their efforts, findings, challenges, and achievements in this project.

• Record URL:
  https://ctr.utexas.edu/wp-content/uploads/151.pdf
• Summary URL:
  https://library.ctr.utexas.edu/Presto/catalogid=38260
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/62992
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Data-Supported Transportation Operations and Planning Center

  University of Texas at Austin
  Austin, TX  United States  78701

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Juri, Natalia Ruiz
• Publication Date: 2020-10

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Photos; References; Tables;
• Pagination: 24p

Subject/Index Terms

• TRT Terms: Beacons; Before and after studies; Bus stops; Data analysis; Pedestrian detectors; Pedestrian movement; Pedestrian safety; Video
• Geographic Terms: Austin (Texas)
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01764519
• Record Type: Publication
• Report/Paper Numbers: D-STOP/2020/151
• Contract Numbers: DTRT13-G-UTC58
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Feb 8 2021 11:15AM