Laplace distribution models for road topography and roughness
Gaussian models are frequently used for road profiles. 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.
- Record URL:
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Corporate Authors:
Lund University. School of Economics and Management. Department of Statistics
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Authors:
- Johannesson, Pär
- Podgórski, Krzysztof
- Rychlik, Igor
- Publication Date: 2015
Language
- English
Media Info
- Pagination: 45
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Serial:
- Working Papers in Statistics
- Issue Number: 2015:14
- Publisher: Lund University, Department of Statistics, Sweden
Subject/Index Terms
- TRT Terms: Calculation; Distributions (Statistics); Fuel consumption; Highways; Mathematical models; Simulation; Smoothness; Statistics; Stochastic processes; Surfacing; Surveying
- ITRD Terms: 6464: Calculation; 6572: Distribution (stat); 3071: Evenness; 232: Fuel consumption; 2755: Highway type; 4025: Levelling (surveying); 6473: Mathematical model; 2755: Road; 9103: Simulation; 6555: Statistics; 6574: Stochastic process; 2972: Surfacing; 4025: Topography; 4025: Triangulation
- Subject Areas: Data and Information Technology; Highways; I21: Planning of Transport Infrastructure; I23: Properties of Road Surfaces;
Filing Info
- Accession Number: 01664463
- Record Type: Publication
- Source Agency: Swedish National Road and Transport Research Institute (VTI)
- Files: ITRD, VTI
- Created Date: Mar 28 2018 10:25AM