Laplace distribution models for road topography and roughness
Journal article, 2017

Gaussian models are frequently used for road elevations. However, these models are often only valid for short sections of the road. Here we present a comprehensive approach to describe various aspects of road surface/elevation by using extensions of Gaussian models arising from random gamma distributed variances. These random variances result in the Laplace distribution and thus we refer to the so defined models as Laplace models. The approach is shown to perform well in modelling road topography, road roughness and multi-valued responses of forces and bending moments containing transients. The different Laplace models are presented together with numerical examples and Matlab code for simulation.

topography

ISO spectrum

non-Gaussian process

road profile

international roughness index

IRI

generalised Laplace distribution

autoregressive process

power spectral density

road roughness

fatigue damage.

PSD

Author

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[Person c0a76f27-79f3-4f23-af26-a5d088a6baf4 not found]

[Person 0f24e54d-31aa-4778-b97e-9a65c3efd0b6 not found]

Chalmers, Mathematical Sciences

University of Gothenburg

International Journal of Vehicle Performance

1745-3194 (ISSN) 1745-3208 (eISSN)

Vol. 3 3 224-258

Areas of Advance

Transport

Subject Categories

Mathematics

Probability Theory and Statistics

DOI

10.1504/IJVP.2017.085032

More information

Latest update

7/19/2023