| IMPROVED PREDICTIVE MODEL OF DRIVERS’ SUBJECTIVE PERCEPTION OF VEHICLE REACTION UNDER AERODYNAMIC EXCITATIONS
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| Arun Kumar 1,2, Erik Sällström 2, Simone Sebben 1, Bengt Jacobson 1 |
1Chalmers University of Technology
2Volvo Cars Corporation |
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| ABSTRACT |
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In vehicle development, rating vehicle reactions to external disturbances such as aerodynamic excitations are
important for improving safety and comfort of passengers. Vehicle motion reactions under such conditions are dependent on
both disturbance and drivers’ steering actions. A predictive model has been developed to correctly anticipate the drivers’
ability to identify unexpected external disturbances for straight-line, high-speed driving in a driving simulator. The measured
variables were band-pass filtered to desired frequency ranges. Excess yaw and roll velocities, defined as the difference
between actual rotations and rotations predicted with a dynamic model from the cause of actual steering, were calculated. The
standard deviations of the measured variables in a time window around disturbances were used in a regression model to
predict the driver responses. Replacing actual rotations with excess rotations reduced the importance of steering input as a
predictor by approximately 2/3, thus improving the accuracy of the predictive model. The model showed the change in driver
sensitivity to rotations at different frequency intervals. It also showed that only driver input in around 1 ~ 2 Hz reduces driver
sensitivity and that drivers are not necessarily sensitive to high rotational accelerations, but rather to large differences between
actual vehicle yaw and roll and expected vehicle yaw and roll responses from the steering input The result from this study
were later compared to succeeding on-road tests which confirmed that the predictive model was improved with the use of
excess motion variables. |
| Key Words:
Driving simulator, Driver-vehicle interaction, Vehicle stability, Prediction model, Driver perception,
Aerodynamic excitations |
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Corresponding Author.
Simone Sebben , Email. 
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