Estimation of lane marker parameters with high correlation to steering signal

A. Demcenko, M. Tamosiunaite, A. Vidugiriene, L. Jakevicius

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)


Human behavior models give insight into people's choices and actions and are tools for predicting performance and improving interface design. Most models focus on a task's cognitive aspects or its physical requirements. This research addresses the divide between cognitive and physical models by combining two models to produce an integrated cognitive-physical human model that enables studying of complex human-machine interactions. The capabilities of the integrated model are evaluated in a task scenario with both cognitive and physical components, i.e., driving while performing a secondary in-vehicle task. When applied in this way, the integrated model is called the Virtual Driver model and can replicate basic driving, in-vehicle tasks, and resource-sharing behaviors, providing a new way to study driver distraction. The model has applicability to interface design and predicting staffing requirements and performance.
Original languageEnglish
Pages (from-to)962-967
JournalIEEE transactions on intelligent transportation systems
Issue number2
Publication statusPublished - 2012


  • IR-80794
  • METIS-286994

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