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Recent advances in computing power, computer graphics, and virtual reality systems are leading to important new opportunities for the development and use of driving simulators. These advances in technology are pointing towards a future where human-in-the-loop simulation is increasingly valuable for training, human-factors research, and virtual prototyping. This paper presents a general literature review of driving simulation, and discusses important components of modern driving simulators. The paper concludes with speculation on the future of driving simulation.

Today's computers offer the potential for increasingly complex models for use in simulation of ground vehicle dynamics The tire models that support these simulations are themselves quite complex, requiring a lengthy set of input parameters to support simulation of tires across a wide range of operating conditions This paper presents a platform-independent tire model preprocessor running under an X-Motif graphical interface it provides convenient input and graphical output for a range of user-specified tire operating conditions, and it allows graphical comparison with experimental data Currently supported are models from Calspan, Gim and Nikravesh, Pacejka, and Systems Technology, Inc (STI) The paper presents examples of coefficient checking, cross-model comparisons, and comments on the consequences of operating these models outside the range of their input data

Input parameter verification is the most challenging aspect of the validation process of a computer simulation for a particular vehicle. Unreasonable parameters can arise from three sources, erroneous measurements (or bad guesses), misinterpretation of the parameter to be measured, and mistakes in data entry.