A geomatics based road surface temperature prediction model

Research output: Contribution to journal › Article

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A geomatics based road surface temperature prediction model. / Chapman, Lee; Thornes, John.

In: Science of the Total Environment, Vol. 360, 01.05.2006, p. 68-80.

Research output: Contribution to journal › Article

Harvard

Chapman, L & Thornes, J 2006, 'A geomatics based road surface temperature prediction model', Science of the Total Environment, vol. 360, pp. 68-80. https://doi.org/10.1016/j.scitotenv.2005.08.025

APA

Chapman, L., & Thornes, J. (2006). A geomatics based road surface temperature prediction model. Science of the Total Environment, 360, 68-80. https://doi.org/10.1016/j.scitotenv.2005.08.025

Vancouver

Chapman L, Thornes J. A geomatics based road surface temperature prediction model. Science of the Total Environment. 2006 May 1;360:68-80. https://doi.org/10.1016/j.scitotenv.2005.08.025

Author

Chapman, Lee ; Thornes, John. / A geomatics based road surface temperature prediction model. In: Science of the Total Environment. 2006 ; Vol. 360. pp. 68-80.

Bibtex

@article{12bdf9dc3f34484989996dbf32496af6,
title = "A geomatics based road surface temperature prediction model",
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.",
keywords = "model, forecast, west midlands, road surface temperature, GPS, URGENT, GIS",
author = "Lee Chapman and John Thornes",
year = "2006",
month = may,
day = "1",
doi = "10.1016/j.scitotenv.2005.08.025",
language = "English",
volume = "360",
pages = "68--80",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A geomatics based road surface temperature prediction model

AU - Chapman, Lee

AU - Thornes, John

PY - 2006/5/1

Y1 - 2006/5/1

N2 - 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.

AB - 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.

KW - model

KW - forecast

KW - west midlands

KW - road surface temperature

KW - GPS

KW - URGENT

KW - GIS

UR - http://www.scopus.com/inward/record.url?scp=33646116081&partnerID=8YFLogxK

U2 - 10.1016/j.scitotenv.2005.08.025

DO - 10.1016/j.scitotenv.2005.08.025

M3 - Article

VL - 360

SP - 68

EP - 80

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -