Vehicle Detection and Counting at Road Intersections Using Video Data

Traffic analysis studies are commonly performed to inform policy makers about the rate of traffic flow and the prevailing traffic patterns at key intersections. In urban environments, like Philadelphia, one common approach to conducting these studies is by temporarily deploying a video camera that acquires footage over a period of study. This video is then analyzed to produce data on the routes that cars take at the intersection over that time period. Once the video data has been obtained it can be manually annotated to obtain the required traffic count or turn information. What this research is seeking to do is to develop open source video analysis software that would reduce the cost of acquiring this data and, thus, make it possible to acquire more information about traffic flow in a timely manner. Ultimately the research team would like to develop algorithms that could be deployed on small, inexpensive embedded smart camera systems which could provide real time information about hundreds of intersections and give traffic planners and city operators an unprecedented level of information about traffic conditions.

  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Technologies for Safe and Efficient Transportation University Transportation Center

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Delaware Valley Regional Planning Commission

    190 Independence Mall West, 8th Floor
    Philadelphia, PA  United States  19106-1520
  • Authors:
    • Taylor, Camillo J
    • Furuya, Takashi
    • Kuhn, Beau
    • Shah, Miraj
    • Pendharkar, Amey
  • Publication Date: 2018

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Research Report
  • Features: Figures; Photos;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01689047
  • Record Type: Publication
  • Contract Numbers: DTRT-12-GUTC-11
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Dec 12 2018 9:35AM