Expert system to calculate the cofficient of friction

an approach to enhance traffic safety

Document identifier: oai:dalea.du.se:1081
Keyword: Expert systems, Friction, Road safety, Road traffic, Roads, Traffic engineering computing, Accident risk, Expert system, Friction coefficient, Intelligent transport system, Road slipperiness, Road weather information system, Traffic safety, Winter road
Publication year: 2004
Relevant Sustainable Development Goals (SDGs):
SDG 11 Sustainable cities and communities
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

Friction plays a key role in causing slipperiness as a low coefficient of friction on the road may result in slippery and hazardous conditions. Analyzing the strong relation between friction and accident risk on winter roads is a difficult task. Many weather forecasting organizations use a variety of standard and bespoke methods to predict the coefficient of friction on roads. This article proposes an approach to predict the extent of slipperiness by building and testing an expert system. It estimates the coefficient of friction on winter roads in the province of Dalarna, Sweden using the prevailing weather conditions as a basis. Weather data from the road weather information system, Sweden (RWIS) was used. The focus of the project was to use the expert system as a part of a major project in VITSA, within the domain of intelligent transport systems

Authors

Yella Siril

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Kalid Askar

Högskolan Dalarna; Datateknik
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Mark Dougherty

Högskolan Dalarna; Datateknik
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