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The accurate prediction of commercial-vehicle ride and handling performance with computer simulation tools is dependent on the level of correlation between the computer model and experimental data. Correlating vehicle attributes to physical test data is often challenging due to the large number of degrees of freedom - and, correspondingly, the large number of tunable parameters - typically required to accurately model vehicle behavior. A high level of interaction between input parameters and vehicle attributes further complicates the task. As a result, this type of correlation is a multi-objective optimization exercise in which the judicious planning of supporting test activity is critical to achieving the right level of model accuracy with an acceptable amount of resource investment. This paper discusses the methodology implemented in the validation of a tractor-semitrailer ADAMS model for both ride and handling simulations and presents the results obtained.

International Truck and Engine Corporation introduced a new line of High Performance trucks based on its next generation medium duty platform in February 2001. The new 4000 series that reached full production in April 2001 was the first in a series of models based on this platform to be introduced over the next two years. The new platform will replace all but the heaviest trucks in International's lineup. Even though the primary focus of International's next generation product is addressing the needs of the owners, drivers and maintainers of the truck, the new product is also a key enabler for the execution of International's business strategies of cost and complexity reduction. Integral to the attainment of internal objectives was International's ability to develop products on a common platform to serve across fairly diverse markets.