AUTOREGRESSIVE MODELS AND ITS POSSIBILITIES FOR MODELLING OF STOCHASTIC LONGITUDINAL UNEVENNESS OF ROAD SURFACES`
Keywords:
Time Series, Modelling, Simulation, Stationary and Non-stationary Process, Autoregressive Models, Stochastic Longitudinal Unevenness, Road Surface QualityAbstract
The aim of the paper is to mention possibilities of effective utilization of an autoregressive
modelling theoretical apparatus by generation courses of stochastic
longitudinal unevenness of various qualitative categories of road surfaces` and
terrain surface. The substance consists in an identification of autoregressive model
parameters for every chosen segments of assigned quality of road and its using by
generation new (statistically adequate) courses of longitudinal unevenness. To show
adequacy, new courses have been verified by means of dynamic parameters of
The aim of the paper is to mention possibilities of effective utilization of an autoregressive modelling theoretical apparatus by generation courses of stochastic longitudinal unevenness of various qualitative categories of road surfaces` and terrain surface. The substance consists in an identification of autoregressive model parameters for every chosen segments of assigned quality of road and its using by generation new (statistically adequate) courses of longitudinal unevenness. To show adequacy, new courses have been verified by means of dynamic parameters of longitudinal unevenness valuation: of the unevenness degree C and of the international index IRI.
longitudinal unevenness valuation: of the unevenness degree C and of the
international index IRI.
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Copyright (c) 2020 Bohuš Leither, Jaromír Máca
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