This paper describes the development of a new method to analyse and interpret road surface roughness data for establishing ride quality for the purpose of managing pavements. The method uses numerical models of particular vehicle types along with the Hilbert transform to predict variations in vibration magnitude which is used as an indicator of road surface quality or rideability. The paper shows how rough patches or segments along a pavement can be detected by identifying statistically stationary sections within the profile. The paper also compares this newly introduced method with the International Roughness Index (IRI). It is shown how the calculation of the statistical distribution of the Vibration Intensity affords a practical means describe the overall quality of both short road segments and large road networks. Finally, a statistical modell, based on a modified Rayleigh distribution, is proposed as a new alternative to characterising ride quality and pavement roughness.


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    Title :

    Using predicted ride quality to characterise pavement roughness


    Additional title:

    Anwendung der vorhergesagten Fahrqualität zum Beschreiben der Fahrbahnrauheit


    Contributors:

    Published in:

    Publication date :

    2004


    Size :

    16 Seiten, 13 Bilder, 1 Tabelle, 18 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Using predicted ride quality to characterise pavement roughness

    Rouillard, Vincent | Online Contents | 2004


    Using predicted ride quality to characterize pavement roughness

    Rouillard,V. / Victoria Univ.of Technol.,AU | Automotive engineering | 2004


    Using predicted ride quality to characterize pavement roughness

    Rouillard,V. / Victoria Univ.of Technol.,AU | Automotive engineering | 2004



    Modeling the Impact of Pavement Roughness on Bicycle Ride Quality

    Thigpen, Calvin G. / Li, Hui / Handy, Susan L. et al. | Transportation Research Record | 2019