Best Practices for Road Weather Management Version 2.0
Title:
Extraction of the Slipperiness Component from Weather and Traffic Data for Winter Maintenance Operations
Abstract:
While traffic and weather information systems provide the current status of air and road surface temperatures, what many drivers really want to know is not the temperature but the degree of slipperiness. Although the friction coefficient is the best index for snow and ice maintenance operations, it is not so easy to manipulate. Some weather condition data are closely correlated with this friction coefficient. In this study, the substitutability of weather and traffic data is examined quantitatively through analysis of field data observed at an intersection.
Source(s):
81st Transportation Research Board (TRB) Annual Meeting, Hokkaido University (Japan). For an electronic copy of this resource, please direct your request to WeatherFeedback@dot.gov.
Date: 2002
Author:
Nakatsuji, Hamada, Kawamura
Keywords:
Pavement condition
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