01137542

Component

https://doi.org/10.3141/2105-14

http://scholar.google.com...Shen&publication_year=2009

Hurricanes or other natural disasters often result in damage to and disruption of transportation systems that are critical to relief and recovery efforts. For this reason, it is important for the general public and elected officials to know the operating conditions of a transportation system as soon as possible after a disaster. The goal of this study was to develop methods for rapidly determining the operating conditions of roadways from satellite images by detecting the presence of debris and the blockage of roads as well as vehicle flows. This paper describes efforts for automatically delineating traffic lanes, a prerequisite for determining blockages by debris, and for detecting vehicles from satellite images. Instead of relying on pixel intensity alone, this study attempted to seek additional information to improve vehicle detection rates by combining information on traffic lane locations and the color tones of vehicles. The results show that the proposed method performs well in automatic traffic lane delineation and vehicle detection.

01141653

09-2993

English

pp 109-117

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309126205

Print

Figures (7) ; References (17) ; Tables (2)

Automatic vehicle detection and identification systems; Communications satellites; Disasters and emergency operations; Imagery; Remote sensing; Traffic lanes

Chromaticity; Pixels; Road delineation; Satellite imagery; Traffic disruption

Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 30 2009 7:22PM

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