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Title:

Estimation of Freeway Traffic Density with Loop Detector and Probe Vehicle Data

Accession Number:

01152466

Record Type:

Component

Availability:

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309160490

Abstract:

Density, speed, and flow are the three critical parameters for traffic analysis. High-performance traffic management and control require the estimation–prediction of space mean speed and density for large spatial and temporal coverage. Speed, including spot mean speed and space mean speed, and flow estimation are relatively easy to measure and estimate, while less attention has been devoted to measuring and estimating density. Because IntelliDrive (previously known as vehicle infrastructure integration) is a promising technology for providing a new type of real-time traffic data, and loop detector systems have already been widely deployed, this paper proposes a method to estimate freeway traffic density with both loop detector data and IntelliDrive-based probe vehicle data. The proposed method has been validated with Berkeley Highway Laboratory loop detector data combined with field-collected probe vehicle data in the first validation study and next-generation simulation video trajectory data in the second validation test. The algorithm can be used offline and in real time.

Monograph Accession #:

01326542

Report/Paper Numbers:

10-1333

Language:

English

Authors:

Qiu, Tony Z
Lu, Xiao-Yun
Chow, Andy H F
Shladover, Steven E

Pagination:

pp 20-29

Publication Date:

2010

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2178
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309160490

Media Type:

Print

Features:

Figures (7) ; Maps (1) ; Photos (1) ; References (9) ; Tables (1)

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Jan 25 2010 10:36AM

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