Statistical Learning-Based Analysis of Human Driver Model Parameters

Abstract

This paper focuses on the development of functions and scripts capable of analyzing the parameters of a mathematical model of human drivers using the MATLAB environment. The main goal of this work was to confirm or refute the correlation between questionnaire responses and mathematical parameters. For this purpose, a set of scripts and functions was created, utilizing artificial intelligence-based statistical learning methods, such as regression and classification tools.