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Title:

Using Online CCTV Image Sequences for Real-Time Traffic Estimation

Accession Number:

01152573

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Closed-Circuit Television (CCTV) system provides a valuable source of on-line traffic images for real-time traffic estimation in Intelligent Transportation Systems (ITS). In Hong Kong, the CCTV images available are static photos and updated once every two-minute interval. In order to make use of such on-line traffic images, an image processing model is proposed to estimate the real-time traffic conditions (including both traffic speeds and densities) on road segments with the use of these low updated-rate CCTV image sequences. An improved solution algorithm is proposed and tested on a selected location in Hong Kong with different traffic conditions. It is shown that the proposed algorithm can estimate convincing results of traffic speeds and densities, which are in consistent with manual estimations from images and videos. With the use of traffic density and speed estimated from on-line CCTV image sequences, the Real-time Traveller Information System (RTIS) in Hong Kong will be further enhanced.

Monograph Accession #:

01147878

Report/Paper Numbers:

10-3846

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wu, Zhongyi
Lam, William H.K.

Pagination:

18p

Publication Date:

2010

Conference:

Transportation Research Board 89th Annual Meeting

Location: Washington DC, United States
Date: 2010-1-10 to 2010-1-14
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (9) ; References (22) ; Tables (1)

Geographic Terms:

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2010 Paper #10-3846

Files:

BTRIS, TRIS, TRB

Created Date:

Jan 25 2010 11:58AM