New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis

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New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis. / Marchetti, Mario; Chapman, Lee; Khalifa, Abderrahmen; Bues, Michel.

In: Advances in Meteorology, Vol. 2014, 2014.

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Marchetti, Mario ; Chapman, Lee ; Khalifa, Abderrahmen ; Bues, Michel. / New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis. In: Advances in Meteorology. 2014 ; Vol. 2014.

Bibtex

@article{ec45a0003f9a4e98867a250c8521732d,
title = "New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis",
abstract = "Thermal mapping uses IR thermometry to measure road pavement temperature at a high resolution to identify and to map sections of the road network prone to ice occurrence. However, measurements are time-consuming and ultimately only provide a snapshot of road conditions at the time of the survey. As such, there is a need for surveys to be restricted to a series of specific climatic conditions during winter. Typically, five to six surveys are used, but it is questionable whether the full range of atmospheric conditions is adequately covered. This work investigates the role of statistics in adding value to thermal mapping data. Principal components analysis is used to interpolate between individual thermal mapping surveys to build a thermal map (or even a road surface temperature forecast), for a wider range of climatic conditions than that permitted by traditional surveys. The results indicate that when this approach is used, fewer thermal mapping surveys are actually required. Furthermore, comparisons with numerical models indicate that this approach could yield a suitable verification method for the spatial component of road weather forecasts—a key issue currently in winter road maintenance.",
author = "Mario Marchetti and Lee Chapman and Abderrahmen Khalifa and Michel Bues",
year = "2014",
doi = "10.1155/2014/254795",
language = "English",
volume = "2014",
journal = "Advances in Meteorology",
issn = "1687-9309",
publisher = "Hindawi Publishing Corporation",

}

RIS

TY - JOUR

T1 - New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis

AU - Marchetti, Mario

AU - Chapman, Lee

AU - Khalifa, Abderrahmen

AU - Bues, Michel

PY - 2014

Y1 - 2014

N2 - Thermal mapping uses IR thermometry to measure road pavement temperature at a high resolution to identify and to map sections of the road network prone to ice occurrence. However, measurements are time-consuming and ultimately only provide a snapshot of road conditions at the time of the survey. As such, there is a need for surveys to be restricted to a series of specific climatic conditions during winter. Typically, five to six surveys are used, but it is questionable whether the full range of atmospheric conditions is adequately covered. This work investigates the role of statistics in adding value to thermal mapping data. Principal components analysis is used to interpolate between individual thermal mapping surveys to build a thermal map (or even a road surface temperature forecast), for a wider range of climatic conditions than that permitted by traditional surveys. The results indicate that when this approach is used, fewer thermal mapping surveys are actually required. Furthermore, comparisons with numerical models indicate that this approach could yield a suitable verification method for the spatial component of road weather forecasts—a key issue currently in winter road maintenance.

AB - Thermal mapping uses IR thermometry to measure road pavement temperature at a high resolution to identify and to map sections of the road network prone to ice occurrence. However, measurements are time-consuming and ultimately only provide a snapshot of road conditions at the time of the survey. As such, there is a need for surveys to be restricted to a series of specific climatic conditions during winter. Typically, five to six surveys are used, but it is questionable whether the full range of atmospheric conditions is adequately covered. This work investigates the role of statistics in adding value to thermal mapping data. Principal components analysis is used to interpolate between individual thermal mapping surveys to build a thermal map (or even a road surface temperature forecast), for a wider range of climatic conditions than that permitted by traditional surveys. The results indicate that when this approach is used, fewer thermal mapping surveys are actually required. Furthermore, comparisons with numerical models indicate that this approach could yield a suitable verification method for the spatial component of road weather forecasts—a key issue currently in winter road maintenance.

U2 - 10.1155/2014/254795

DO - 10.1155/2014/254795

M3 - Article

VL - 2014

JO - Advances in Meteorology

JF - Advances in Meteorology

SN - 1687-9309

ER -