Vehicle Detection and Counting at Road Intersections Using Video Data

Taylor, Camillo J.; Furuya, Takashi; Kuhn, Beau; Shah, Miraj; Pendharkar, Amey

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Vehicle Detection and Counting at Road Intersections Using Video Data

2018-01-01
By Taylor, Camillo J. ; Furuya, Takashi ; Kuhn, Beau

File Language:

English

Details

Creators:

Taylor, Camillo J. ; Furuya, Takashi ; Kuhn, Beau ; Shah, Miraj ; Pendharkar, Amey
Corporate Creators:

Carnegie Mellon University ; Technologies for Safe and Efficient Transportation. University Transportation Center ; Delaware Valley Regional Planning Commission
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final
Corporate Publisher:

Technologies for Safe and Efficient Transportation. University Transportation Center
Abstract:

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.
Format:

PDF
Funding:

DTRT-12-GUTC-11
Download URL:

https://rosap.ntl.bts.gov/view/dot/64524/dot_64524_DS1.pdf
File Type:

[PDF - 1.37 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha256:e6de36a068168428b98c36a6a1d0b60f3765c8b9181182cfc5b43dc4208b46e2

File Language:

English

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