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Predicting the Subjective Evaluation of Drivers in a Driving Simulator During Loss of Adherence

[+] Author Affiliations
Thomas Denoual

Renault, Guyancourt, FranceEcole Centrale de Nantes, Nantes, France

Jean-François Petiot, Franck Mars

Ecole Centrale de Nantes, Nantes, France

Andras Kemeny

Renault, Guyancourt, FranceArts and Métiers ParisTech, Chalons-sur-Saone, France

Paper No. ESDA2012-82511, pp. 773-780; 8 pages
  • ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis
  • Volume 2: Applied Fluid Mechanics; Electromechanical Systems and Mechatronics; Advanced Energy Systems; Thermal Engineering; Human Factors and Cognitive Engineering
  • Nantes, France, July 2–4, 2012
  • Conference Sponsors: International
  • ISBN: 978-0-7918-4485-4
  • Copyright © 2012 by ASME


This paper investigates the possibility of using objective indicators to predict the subjective evaluation of a driver in a simulator. Situations of loss of adherence (LOA) were controlled and modulated in intensity and duration on a static and on a dynamic simulator (with and without a motion base). Multiple regression analyses were performed using the subjective evaluation of participants as the dependent variable, and the objective physical variables of the interaction driver/vehicle as the independent variables. The results assigned the most contributive variables to the accuracy of the model’s prediction for each subjective item, lateral acceleration and yaw rate for “control feeling” for instance. They also underlined the consistency of our approach and the influence of motion rendering on the perception of LOA intensity. A similar method could be used to evaluate the perception of various configurations of electronic stability control (ESC) systems.

Copyright © 2012 by ASME



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