01088550

Component

This study proposes a visibility estimation model in winter that uses multiple regression analysis. The Road Visibility Information System (RVIS) can provide only visibility information at the present time. Road maintenance offices and drivers need to know road visibility information a few hours in advance. The project used a database of visibility information stored by the RVIS and 1-km-mesh meteorological data recorded during the winter of 2005/2006 to develop the visibility estimation model. Four kinds of multiple regression analysis were established with WIPS values as the dependent variable and 1-km-mesh meteorological data as independent variables. The best of the four models has a 60% hit rate, an 80% extended hit rate and a 2% undetected rate. The study revealed that visibility information based on road images captured in winter can be estimated from 1-km-mesh meteorological data using a multiple regression analysis. Implementation will require increased accuracy under poor visibility conditions, expansion to fog-induced poor visibility adding relative humidity as a factor, and overcoming inaccuracy of 1-km-mesh meteorological data under poor visibility conditions using the advanced method.

01084478

08-1497

English

16p

2008

Transportation Research Board 87th Annual Meeting

DVD

Figures (6) ; References (10) ; Tables (5)

Data collection; Image analysis; Information systems; Maintenance; Meteorology; Regression analysis; Visibility; Winter maintenance

Data and Information Technology; Geotechnology; Highways; Maintenance and Preservation; I62: Winter Maintenance

Transportation Research Board Annual Meeting 2008 Paper #08-1497

TRIS, TRB

Jan 29 2008 3:51PM