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Title:

Identifying and Correcting Pulse-Breakup Errors from Freeway Loop Detectors

Accession Number:

01334545

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/166696.aspx

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Order URL: http://worldcat.org/isbn/9780309222921

Abstract:

.Loop detectors are the most common sensors used to collect freeway management data. There has been considerable research to screen the quality of loop detector data, but some significant detector errors have not received much attention because of the difficulty of identifying their occurrence. This study examines one such error, pulse breakup, in which what should be a single pulse from a vehicle breaks up into two or more pulses because the detector momentarily drops out. An algorithm is developed to identify the presence of individual pulse-breakup events. The algorithm is based on the nature of pulse breakup revealed from individual vehicle actuations with concurrent video ground truth. The algorithm begins with the comparison of the on-times from the two successive pulses bounding a given short off-time. To differentiate between pulse breakup and tailgating, the algorithm includes several comparisons of the adjacent on-times with respect to the ambient traffic conditions. Six steps are included in the algorithm. If two successive pulses satisfy all steps, these pulses are a suspected pulse breakup. Otherwise, these pulses are considered to arise from non-pulse-breakup events. The process is repeated over all pulses at each detector. The results can be used to correct for the suspected pulse-breakup events, and the rate of suspected pulse-breakup events provides an indication of the detector’s health. The algorithm was tested over 68,281 actuations with concurrent video ground truth, in both free-flow and congested conditions, from 15 detector stations (22 directional stations). As presented here, the algorithm demonstrated good performance.

Monograph Accession #:

01362484

Report/Paper Numbers:

11-1608

Language:

English

Authors:

Lee, Ho
Coifman, Benjamin

Pagination:

pp 68-78

Publication Date:

2011

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2256
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309222921

Media Type:

Print

Features:

Figures (4) ; References (21) ; Tables (2)

Uncontrolled Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I70: Traffic and Transport

Files:

TRIS, TRB

Created Date:

Feb 17 2011 5:52PM

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