Simulator based driver categorization and linear model identification

András Mihály, P. Gáspár

Research output: Contribution to journalArticle

Abstract

The paper proposes a classification method for different driver behaviors based on an identification method. The categorization and identification is carried out on real-time driving simulator experiments with several test drivers. The purpose of the identification is to define typical driving behaviors with their identified models. The driving assistant systems of the vehicle can be adapted to the behavior of the driver using predefined driver models.

Original languageEnglish
Pages (from-to)255-260
Number of pages6
JournalIFAC-PapersOnLine
Volume49
Issue number3
DOIs
Publication statusPublished - 2016

ASJC Scopus subject areas

  • Control and Systems Engineering

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