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Title:

Video-Based Automated Identification of Freeway Shoulder Events
Cover of Video-Based Automated Identification of Freeway Shoulder Events

Accession Number:

01033625

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/0309099811

Abstract:

Transportation agencies have increasingly turned to information technology to help address the growing challenges of managing congested urban freeways. Although off-the-shelf information technology products, such as closed-circuit television (CCTV) systems and video image vehicle-detection systems (VIVDS), have proved very useful, their full potential cannot be achieved without integrating the products. The purpose of this research effort was to build on an existing prototype of an integrated CCTV–VIVDS system to provide automatic shoulder event identification functionality. This paper presents the design of the integrated system, provides details on the tools and effort required to support integration of the information technology elements, and describes the results of field testing of the system.

Monograph Accession #:

01041095

Language:

English

Authors:

Qi, Yi
Tang, Yin
Smith, Brian Lee

Pagination:

pp 46-53

Publication Date:

2006

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 1972
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309099811

Media Type:

Print

Features:

Figures (9) ; References (8) ; Tables (2)

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Mar 3 2006 10:21AM

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