This paper presents results of a study conducted to apply and evaluate the In-Vehicle Information System (IVIS) DEMAnD Model developed recently by the Virginia Polytechnic University's Center for Transportation Research for the Federal Highway Administration. This software-based model allows vehicle design engineers to predict the effects an in-vehicle information system might have on driver performance. The model was exercised under nine different driver attention task levels ranging from simple, such as glancing into a side view mirror, to complex, such as operating an in-vehicle navigation system. The nine driver tasks were evaluated using three different vehicle configurations and two levels of driver-roadway complexity. In addition, real-world information on driver visual performance was also collected during four different tasks for comparison with model predictions of these same functions. The comparison of model prediction for maximum number of glances, total task performance time, and a model-rating feature called figure of demand for each of the tasks indicated:
An Evaluation of the IVIS-DEMAnD Driver Attention Demand Model
Sae Technical Papers
SAE 2002 World Congress & Exhibition ; 2002
2002-03-04
Aufsatz (Konferenz)
Englisch
An evaluation of the IVIS-DEMAnD driver attention demand model
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