Driver modeling: Data collection, model analysis, and optimization

This thesis concerns aspects of driver modeling, with an emphasis on critical near-crash scenarios, involving time spans of around 10 s of driving. Here,driver modeling has been studied using both computer simulations and experiments carried out in a high-fidelity driving simulator. A computer simulation environment has been developed especially for driver modeling. This simulation environment includes a stochastic optimization method for model parameter tuning. Moreover, a review of existing driver models has been carried out. In many cases in the literature, new driver models have been proposed without comparison with existing models. Many models also lack proper validation against driving data. A possible explanation may be that such data are expensive and difficult to collect, especially in critical scenarios. However, in this thesis, the results obtained in a driving simulator study involving a collision avoidance scenario indicate that, at least to some extent, data collected in

Publication type
QUADRA - Quantitative Driver Behavior Modeling for Active Safety Assessment (A15)
Year of publication

Safer – Vehicle and Traffic Safety Centre

SAFER is the open research arena where researchers and expertise work together to create safe mobility. Our traffic safety approach covers people, vehicles and the infrastructure – and together we contribute to safer road transports and smarter, more sustainable cities.

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