Improving Dual-Loop Truck (and Speed) Data: Quick Detection of Malfunctioning Loops and Calculation of Required Adjustments

Nihan, Nancy L.; Wang, Yinhai; Cheevarunothai, Patikhom; University of Washington. Dept. of Civil and Environmental Engineering; Transportation Northwest (Organization)

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Improving Dual-Loop Truck (and Speed) Data: Quick Detection of Malfunctioning Loops and Calculation of Required Adjustments

2006-05-01
By Nihan, Nancy L. ; Wang, Yinhai ; Cheevarunothai, Patikhom

[PDF-592.71 KB]

English

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Creators:

Nihan, Nancy L. ; Wang, Yinhai ; Cheevarunothai, Patikhom

Nihan, Nancy L. ; Wang, Yinhai ; Cheevarunothai, Patikhom Less -
Corporate Creators:

University of Washington. Dept. of Civil and Environmental Engineering ; Transportation Northwest (Organization)

University of Washington. Dept. of Civil and Environmental Engineering ; Transportation Northwest (Organization) Less -
Corporate Contributors:

University of Washington. Dept. of Civil Engineering ; United States. Department of Transportation

University of Washington. Dept. of Civil Engineering ; United States. Department of Transportation Less -
Subject/TRT Terms:

[+]

Accuracy Advanced Loop Event Data Analyzer (ALEDA) Algorithms Dual Loop Highways I72: Traffic And Transport Planning Loop Detectors Motor Carriers Operations And Traffic Management Planning And Forecasting Reliability Sensitivity Speed Traffic Counts Truck Data Trucks Vehicle Length
Publication/ Report Number:

TNW2006-02
Resource Type:

Tech Report
Geographical Coverage:

United States ; Washington

United States ; Washington Less -
TRIS Online Accession Number:

01030711
Edition:

Final Technical Report
Corporate Publisher:

University of Washington. Dept. of Civil Engineering
Abstract:

The capability of measuring vehicle lengths makes dual-loop detectors a potential real time truck data source for freight movement studies. However, a previous study found that the dual-loop detection system of the Washington State Department of Transportation (WSDOT) was not consistently reporting accurate truck volumes because of its sensitivity setting problems. Specifically, the sensitivity problems found were: (1) sensitivity discrepancies between the two single loops that form a dual-loop detector; and (2) unsuitable sensitivity level settings for both single loops even when discrepancies weren’t significant. Both problems can result in erroneous vehicle length estimates and, consequently, inaccurate truck counts. As an extension of the previous study, this research project developed an algorithm for the identification and correction of such loop sensitivity problems. The algorithm identifies dual-loop sensitivity problems using individual vehicle information extracted from high-resolution loop event data and corrects dual-loop sensitivities through a two step procedure: 1) remove the sensitivity discrepancy between the two single loops and 2) adjust their sensitivities to the appropriate level. The algorithm was also implemented in a computer application named the Advanced Loop Event Data Analyzer (ALEDA) system for convenient usage. Elimination of dual-loop sensitivity problems significantly enhances the reliability of the dual-loop detection system and improves the quality of truck volume data. The findings and products from this study will help the WSDOT to obtain more accurate speed and truck volume data from the existing dual-loop detectors.
Format:

PDF
Funding:

DTRS99-G-0010 (Grant)
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:48f6e0805b7ae269f159cdfb84a8e7d8b4829ee09f77bfd5f90d275ada996d25
Download URL:

https://rosap.ntl.bts.gov/view/dot/38617/dot_38617_DS1.pdf
File Type:

No Additional Files

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Improving Dual-Loop Truck (and Speed) Data: Quick Detection of Malfunctioning Loops and Calculation of Required Adjustments

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