Video-Based Automated Identification of Freeway Shoulder Events.

Auteur(s)
Smith, B.L. Qi, Y. & Tang, Y.
Jaar
Samenvatting

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

Publicatie aanvragen

1 + 1 =
Los deze eenvoudige rekenoefening op en voer het resultaat in. Bijvoorbeeld: voor 1+3, voer 4 in.

Publicatie

Bibliotheeknummer
C 43845 (In: C 43607 CD-ROM) /72 / ITRD E839025
Uitgave

In: Compendium of papers presented at the 85th Annual Meeting of the Transportation Research Board TRB, Washington, D.C., January 22-26, 2006, 19 p.

Onze collectie

Deze publicatie behoort tot de overige publicaties die we naast de SWOV-publicaties in onze collectie hebben.