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Modeling of Human Response From Vehicle Performance Characteristics Using Artificial Neural Networks
ISSN: 0148-7191, e-ISSN: 2688-3627
Published May 07, 2002 by SAE International in United States
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This study investigates a methodology in which the general public's subjective interpretation of vehicle handling and performance can be predicted. Several vehicle handling measurements were acquired, and associated metrics calculated, in a controlled setting. Human evaluators were then asked to drive and evaluate each vehicle in a winter driving school setting. Using the acquired data, multiple linear regression and artificial neural network (ANN) techniques were used to create and refine mathematical models of human subjective responses. It is shown that artificial neural networks, which have been trained with the sets of objective and subjective data, are both more accurate and more robust than multiple linear regression models created from the same data.
CitationMoon, K., Osborne, M., Kuykendall, D., and Poirier, W., "Modeling of Human Response From Vehicle Performance Characteristics Using Artificial Neural Networks," SAE Technical Paper 2002-01-1570, 2002, https://doi.org/10.4271/2002-01-1570.
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