Opportunistic Traffic Sensing Using Existing Video Sources (Phase II) Final Report [2018]

Eriksson, Jakob; Jin, Yanzi; Illinois Center for Transportation

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Opportunistic Traffic Sensing Using Existing Video Sources (Phase II) Final Report [2018]

2018-08-01
By Eriksson, Jakob ; Jin, Yanzi

[PDF-931.04 KB]

English

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Details:

Creators:

Eriksson, Jakob ; Jin, Yanzi

Eriksson, Jakob ; Jin, Yanzi Less -
Corporate Creators:

Illinois Center for Transportation
Corporate Contributors:

United States. Federal Highway Administration
Subject/TRT Terms:

[+]

Accuracy Computer Vision Data And Information Technology Detection And Identification Systems Highways Operations And Traffic Management Traffic Counts Traffic Surveillance Turn Count Vehicle Count Video Video Cameras
Publication/ Report Number:

FHWA-ICT-18-010
Resource Type:

Tech Report
Geographical Coverage:

United States ; Illinois

United States ; Illinois Less -
Corporate Publisher:

Illinois Center for Transportation
Abstract:

The objective of this project was to produce accurate vehicle counts and turn counts from opportunistically acquired video sources such as surveillance, red light, and other traffic cameras, using computer vision techniques. The project scope included algorithm design, software development, and a web portal for practitioner use.
Format:

PDF
Funding:

R27-169
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:2a22a566bc1d714798e2e7b50e6a54f7df88d79a187e33b2c7c7639a119e4c5c
Download URL:

https://rosap.ntl.bts.gov/view/dot/36528/dot_36528_DS1.pdf
File Type:

No Additional Files

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Opportunistic Traffic Sensing Using Existing Video Sources (Phase II) Final Report [2018]

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