A geomatics based road surface temperature prediction model

Lee Chapman, John Thornes

Research output: Contribution to journalArticle

35 Citations (Scopus)

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 languageEnglish
Pages (from-to)68-80
Number of pages13
JournalScience of the Total Environment
Volume360
DOIs
Publication statusPublished - 1 May 2006

Keywords

  • model
  • forecast
  • west midlands
  • road surface temperature
  • GPS
  • URGENT
  • GIS

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