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Expert system for predicting slipperiness on winter roads in the province of Dalarna, Sweden
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.
2003 (Engelska)Självständigt arbete på avancerad nivå (masterexamen)Studentuppsats (Examensarbete)
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
2003. , s. 86
Nyckelord [en]
Expert systems, VITSA model, Friction, Slipperiness, Predictions, Intelligent Transport Systems
Identifikatorer
URN: urn:nbn:se:du-3048OAI: oai:dalea.du.se:3048DiVA, id: diva2:518336
Uppsök
teknik
Handledare
Tillgänglig från: 2008-01-11 Skapad: 2008-01-11 Senast uppdaterad: 2012-04-24Bibliografiskt granskad

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