| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4434189 | Science of The Total Environment | 2006 | 13 Pages |
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.
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Authors
L. Chapman, J.E. Thornes,