A global optimization of vehicle properties is currently not possible. In case of vehicle handling behavior, the optimal design parameter combination is dependent on the desired dynamic characteristics; i.e. it is a tradeoff between different objectives. In this paper, three methods are shown, which are crucial for the optimization of vehicle handling in a virtual environment: a multi-objective, multi-scenario optimization method, an approach for prediction of subjective ratings from driver inputs and vehicle reactions and, last but not least, an approach for the modeling of the control behavior of the human driver.

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