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Programmable vehicle models (PVMs) are intended to save time and costs in building bucks to evaluate vehicle interior packages. This paper presents results from a series of three studies conducted to determine the applicability and limitations of the methodology of using a PVM. The PVM used for the study was built by Prefix Corporation and has forty-two axes of adjustments. The first study verified the PVM's ability to reproduce dimensions. It showed that the PVM was acceptably accurate, with most dimension measurement ranges less than 2-3 mm. The second study was conducted to determine if subject responses are reliable indicators of package differences. Aside from some special causes, most were found to be. The third study was conducted to determine how well the PVM replicated 3 actual vehicles. Despite some dimensional discrepancies, there was evidence of correlation between subject responses from the PVM and actual vehicles.

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.

A Headlight Evaluation Model has been developed which provides a broader and more comprehensive method for characterizing the performance of headlamps than is possible in traditional headlight seeing distance field tests. The Headlamp Evaluation Model accepts as input the candlepower patterns of the headlamp system being evaluated and provides a measure of driver visual performance based on a large number of simulated seeing distance tests and glare discomfort checks on a standardized test route. The output of the Model, termed the Figure of Merit, is the percentage of the distance traveled by the simulated driver on the standardized test route in which the seeing distance to pedestrians and pavement lines, and the discomfort glare levels experienced by opposing drivers, simultaneously meet certain acceptance criteria.