Estimation of lane marker parameters with high correlation to steering signal

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Demcenko, A. and Tamosiunaite, M. and Vidugiriene, A. and Jakevicius, L. (2012) Estimation of lane marker parameters with high correlation to steering signal. IEEE transactions on intelligent transportation systems, 13 (2). 962 - 967. ISSN 1524-9050

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Abstract: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.
Item Type:Article
Copyright:© 2012 IEEE
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Engineering Technology (CTW)
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Link to this item:http://purl.utwente.nl/publications/80794
Official URL:http://dx.doi.org/10.1109/TITS.2012.2182764
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