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Title:

Input–Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at Signalized Intersections
Cover of Input–Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at Signalized Intersections

Accession Number:

01049644

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/Public/Blurbs/156835.aspx

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Order URL: http://worldcat.org/isbn/9780309104623

Abstract:

Vehicle delay and queue length are quantitative measures of intersection performance. The technological advancement in the field of vehicle sensors and traffic controllers has reached a point where it has enabled efficient measurement of these performance measures. Two techniques are presented for real-time measurement of vehicle delay and queue length at a signalized intersection, and these automated delay and queue estimates are compared with manually ground-truthed measurement. These techniques were evaluated at an instrumented intersection in Noblesville, Indiana. The root-mean-square error by both techniques was below 0.7 veh-s for estimation of average delay and less than 0.15 vehicle for estimation of average maximum queue length, both on a cycle-by-cycle basis.

Monograph Accession #:

01091263

Language:

English

Authors:

Sharma, Anuj
Bullock, Darcy M
Bonneson, James A

Pagination:

pp 69-80

Publication Date:

2007

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2035
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309104623

Media Type:

Print

Features:

Figures (8) ; References (11) ; Tables (3)

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Feb 8 2007 5:04PM

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