A geomatics based road surface temperature prediction model
Research output: Contribution to journal › Article
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.
|Number of pages||13|
|Journal||Science of the Total Environment|
|Publication status||Published - 1 May 2006|
- model, forecast, west midlands, road surface temperature, GPS, URGENT, GIS