Modeling Driver Behavior in a Straight-line Emergency Situation 2005-01-2700
Setting up a digital driver behavior model represents one major approach to design and validate active safety devices during their development phase. The present contribution introduces our predictive model of driver actions on car controls (steering wheel and pedals). Its core is based on the combined use of neural networks and genetic algorithms. This model was set up using a behavioral database gathered from a test track experiment. This paper details the different stages followed to construct our model. It shows validation results using another database and discusses its effective robustness.
Citation: Bouslimi, W., Kassaagi, M., Lourdeaux, D., and Fuchs, P., "Modeling Driver Behavior in a Straight-line Emergency Situation," SAE Technical Paper 2005-01-2700, 2005, https://doi.org/10.4271/2005-01-2700. Download Citation
Author(s):
Wajih Bouslimi, Mohamed Kassaagi, Domitile Lourdeaux, Philippe Fuchs
Affiliated:
Laboratory of Accidentology Biomechanics and Human Behavior PSA Peugeot Citroen-RENAULT, Robotic Center of the Ecole des mines de Paris
Pages: 11
Event:
2005 Digital Human Modeling for Design and Engineering Symposium
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
SAE 2005 Transactions Journal of Passenger Cars: Electronic and Electrical Systems-V114-7
Related Topics:
Driver behavior
Neural networks
Active safety systems
Test facilities
Simulation and modeling
Mathematical models
Fabrication
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