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. (c) 2005 Elsevier B.V. All rights reserved.
Original language | English |
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Pages (from-to) | 68-80 |
Number of pages | 13 |
Journal | Science of the Total Environment |
Volume | 360 |
DOIs | |
Publication status | Published - 1 May 2006 |
Keywords
- model
- forecast
- west midlands
- road surface temperature
- GPS
- URGENT
- GIS