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Slip Based Real Time Road Friction Estimation for Heavy Duty Vehicles Andersson, Jon ; Forsgard, Magnus
Utgivningsinformation: Bryssel ITS in daily life: 16th world congress and exhibition on intelligent transport systems and services, Stockholm 21-25 September 2009. Paper, 2009Beskrivning: 5 sÄmnen: Bibl.nr: VTI P1835:16 [World]Location: Abstrakt: In this paper an implementation of the slip based road friction estimation method is described. The purpose of this implementation is to obtain real-time classification of the prevalent road friction coefficient. A real-time system using a linear regression model and a Kalman filter is implemented. Test runs show that the vehicle model and the algorithms are robust and can provide accurate classifications of current coefficient of friction.| Omslagsbild | Exemplartyp | Aktuellt bibliotek | Hembibliotek | Avdelning | Hyllplacering | Hyllsignatur | Specificerade material | Volyminfo | URL | Ex.nummer | Status | Kommentarer | Förfallodatum | Streckkod | Exemplarreservationer | Köplats för exemplarreservation | Kurslistor | |
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| Statens väg- och transportforskningsinstitut | Tillgänglig |
In this paper an implementation of the slip based road friction estimation method is described. The purpose of this implementation is to obtain real-time classification of the prevalent road friction coefficient. A real-time system using a linear regression model and a Kalman filter is implemented. Test runs show that the vehicle model and the algorithms are robust and can provide accurate classifications of current coefficient of friction.