@article{ref1,
title="A geomatics-based road surface temperature prediction model",
journal="Science of the total environment",
year="2006",
author="Chapman, L. and Thornes, J. E.",
volume="360",
number="1-3",
pages="68-80",
abstract="A GIS-based model for the prediction of road surface temperature is presented that has the ability to explain up to 74% of the spatial variation in road surface temperature in the West Midlands, UK. The approach combines basic spatial data sets with a synergy of surveying techniques to produce a geographical parameter database that drives the spatial component of a road weather prediction model. By measuring and modelling geographical parameters such as altitude, landuse, road construction and the sky-view factor, pre-existing components of road ice prediction systems can be united to provide a dynamic road ice prediction system.<p /> <p>Language: en</p>",
language="en",
issn="0048-9697",
doi="10.1016/j.scitotenv.2005.08.025",
url="http://dx.doi.org/10.1016/j.scitotenv.2005.08.025"
}