Refining Inductive Loop Signature Technology for Statewide Vehicle Classification Counts

Liao, Chen-Fu; University of Minnesota. Department of Mechanical Engineering

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Refining Inductive Loop Signature Technology for Statewide Vehicle Classification Counts

2021-12-01
By Liao, Chen-Fu

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Details:

Creators:

Liao, Chen-Fu
Corporate Creators:

University of Minnesota. Department of Mechanical Engineering
Corporate Contributors:

Minnesota. Department of Transportation. Research Services & Library
Subject/TRT Terms:

[+]

Loop Detectors Pattern Recognition Systems Traffic Counts
Publication/ Report Number:

MN 2021-27
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Minnesota. Department of Transportation
Abstract:

Transportation agencies in the U.S. use devices such as loop detectors, automatic traffic recorders (ATR), or weigh-in- motion (WIM) sensors to monitor the performance of traffic network for planning, forecasting, and traffic operations. With a limited number of ATR and WIM sensors deployed throughout the state roadways, temporary double tubes are often deployed to get axle-based vehicle classification counts. An inductive loop signature technology previously developed by a Small Business Innovation Research (SBIR) program sponsored by the US Department of Transportation is used to classify vehicles using existing loops. This technology has the potential to save time and money while providing the state, counties or cities more data especially in the metro area where loop detectors have already been installed.
Format:

PDF
Funding:

(c) 1036215
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:299573560269ada5d94a25c491f7a48bf6f6efe04b1274e0a177cb4e693f60d5
Download URL:

https://rosap.ntl.bts.gov/view/dot/62297/dot_62297_DS1.pdf
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Refining Inductive Loop Signature Technology for Statewide Vehicle Classification Counts

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