Using Statistically Based Modeling for Vehicle Dynamics

Abstract:

This paper is a result of a research focused on statistical vehicles dynamics. Its main purpose is to establish mathematical description of vehicle dynamics based on statistically sufficient experimental data and using statistical instruments. The results are analytical expressions and graphical representations that can be used in situations other than those the data were obtained. Experimental research program objective was to obtain a variety of data to define the dynamics of a vehicle. It involved a large number of tests, more than 100, on different runways, pavement, mosaic tiles or asphalt. They were performed in various weather conditions, sunny and warm weather or rain or sleet and snow. The driving style varied between normal and sport ones. The experimental data were used in obtaining mathematical models that define certain dependency between dynamic parameters. There were issued multiple linear regressions with one resulting parameter. If we analyzed the models we issued we notice that the more factorial parameters are involved, the higher the accuracy of the model we get.

• Periodical: Advanced Materials Research (Volume 1036)
• Pages: 564-567
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1036.564
• Online since: October 2014
• Authors: Constantin Ovidiu Ilie*, Dănuț Grosu, Oana Mocian, Radu Vilău, Daniela Bartiș
• Keywords: Data, Parameter, Regression, Statistical Analysis, Vehicle Dynamics

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